Scipedia Scipedia
    • Library
    • Groups

    Documents published in 2025

    • Metamodeling of nonlinear stochastic dynamic systems with hybrid neural operator schemes

      H. Atila, S. Goswami, S. Spence
      ICOSSAR25.

      • 0
      •  read

    • Physics-based parameterized fragility models for coastal residential buildings considering the effects of neighboring structures

      J. Patel, J. Padgett
      ICOSSAR25.

      • 0
      •  read

    • Addressing statistical uncertainty in a surrogate model framework for Performance-Based Risk Optimization of structures subjected to seismic actions

      I. Rodrigues, S. Spence, A. Beck
      ICOSSAR25.

      • 0
      •  read

    • Surrogate-based seismic risk assessment leveraging supervised data-driven feature extraction for the excitation characterization

      P. Movaghar, A. Taflanidis
      ICOSSAR25.

      • 0
      •  read

    • Predicting protected steel temperatures in fire using physics-informed surrogate models

      R. Yarmohammadian, B. Jovanović, R. Coile
      ICOSSAR25.

      • 0
      •  read

    • Adaptive Kriging multi-objective reliability-based design optimization of fuzzy logic controller for mr damper structures

      P. Pei, S. Quek, Y. Peng
      ICOSSAR25.

      • 0
      •  read

    • Seismic vulnerability of rooftop telecommunication towers at urban scale

      A. Cardoni, J. Chavez, G. Cimellaro
      ICOSSAR25.

      • 0
      •  read

    • Physics-informed polynomial chaos expansions: recent developments and comparisons

      L. Novak, Q. Lu, H. Sharma, D. Sarkar, S. Goswami, M. Shields
      ICOSSAR25.

      • 0
      •  read

    • Shaking table test for ViBa-Soil-Structure Interaction

      P. Cacciola, L. Li, W. Dobney, F. Huang, Q. Wang, A. Contento, B. Briseghella
      ICOSSAR25.

      • 0
      •  read

    • Vibration control of floating offshore wind turbine structure under wind-wave loads using the hybrid TMDI

      T. Chang, Y. Peng, Y. Lin
      ICOSSAR25.

      • 0
      •  read

    • Influence of attacker’s prior knowledge on the performance of redundant systems

      L. Iannacone, A. Cao
      ICOSSAR25.

      • 0
      •  read

    • On the dependency between optimal redundancy and optimal inspection of structural systems

      A. Beck, L. Silva, L. Costa, J. Kohler
      ICOSSAR25.

      • 0
      •  read

    • Efficient network resilience computation by preserving social impact estimates

      R. Rincon, J. Padgett, L. Duenas-Osorio
      ICOSSAR25.

      • 0
      •  read

    • Collective behaviors in regional seismic responses: insights from phase transitions in statistical physics

      S. Oh, R. Rincon, J. Padgett, Z. Wang
      ICOSSAR25.

      • 0
      •  read

    • Accessibility risk assessment under Cascadia Subduction Zone earthquakes: case study on hospital accessibility in Portland metro area

      A. Deriba, D. Yang
      ICOSSAR25.

      • 0
      •  read

    • Hazard-consistent selection of storm scenarios for long-term storm surge hazard estimation across large geographic regions

      W. Jung, A. Taflanidis
      ICOSSAR25.

      • 0
      •  read

    • On the challenges of adopting adaptive Monte Carlo techniques in regional risk assessment

      W. Jung, A. Taflanidis
      ICOSSAR25.

      • 0
      •  read

    • Evolution and prediction of urban flood risk under land use change scenarios: a case study of Tianjin Downtown

      H. Li, Q. Wang
      ICOSSAR25.

      • 0
      •  read

    • Deep learning motivated data imputation of tropical cyclone radius of maximum winds

      S. Agrawal, N. Hundia, Z. Liu, M. Bensi
      ICOSSAR25.

      • 0
      •  read

    • A framework for reduction of wind-intensified wildfires caused by failures in power distribution systems

      A. Tajik, Y. Darestani
      ICOSSAR25.

      • 0
      •  read

    • Seismic response assessment of deteriorating highway bridges under earthquake induced landslides

      N. Aijaz, J. Ghosh
      ICOSSAR25.

      • 0
      •  read

    • Seismic demand modeling leveraing conditional generative adversarial network

      M. Tariq, A. Du
      ICOSSAR25.

      • 0
      •  read

    • An extension to the USGS ShakeCast for system-level impact assessment using a Bayesian approach

      H. Ryu, J. Byun, M. Edwards
      ICOSSAR25.

      • 0
      •  read

    • Framework for performance assessment of bridges under flood considering climate change

      S. Han, J. Lee, T. Kim
      ICOSSAR25.

      • 0
      •  read

    • Seismic retrofit of existing structures with rocking walls

      M. Aghagholizadeh
      ICOSSAR25.

      • 0
      •  read

    • Experimental study on seismic performance of frictional hybrid coupled wall systems with frictional steel truss coupling beams

      Q. Tang, Y. Cui, T. Wang
      ICOSSAR25.

      • 0
      •  read

    • Optimization of additively manufactured metal dampers

      F. Andreacola, V. Sangiorgio, G. Brando
      ICOSSAR25.

      • 0
      •  read

    • Optimal cubic nonlinear damping for seismic inter-story vibration isolation under critical double and multiple impulse inputs

      K. Kojima, Y. Zhu, Z. Lang
      ICOSSAR25.

      • 0
      •  read

    • Accuracy improvement of damage classifier for a wooden building using long short-term memory with response surface method

      T. Maeda, M. Kohiyama, T. Yamashita
      ICOSSAR25.

      • 0
      •  read

    • Development and response validation of a bi-directionally tunable rigid-body-swinging and horizontal-spring hybrid tuned mass damper in a full-scale model

      Y. Shimizu, M. Kohiyama
      ICOSSAR25.

      • 0
      •  read

    • Variational Bayesian model updating using normalizing flows

      F. Mett, J. Grashorn, T. Potthast, M. Broggi, M. Beer
      ICOSSAR25.

      • 0
      •  read

    • Accurate and efficient resilience assessment of coastal electric power distribution networks

      S. Sohrabi, Y. Darestani, W. Pringle
      ICOSSAR25.

      • 0
      •  read

    • Risk measures for pipeline safety

      S. Koduru
      ICOSSAR25.

      • 0
      •  read

    • Optimizing post-earthquake bridge network restoration planning using Graph Neural Networks and Deep Reinforcement Learning

      M. Ali, A. Du, J. Cai
      ICOSSAR25.

      • 0
      •  read

    • Structural seismic response prediction with LSTM-based Bidirectional Urban Safety Network using frequency domain decomposition with conditional vector

      H. Lee, B. Oh
      ICOSSAR25.

      • 0
      •  read

    • Bridging data gaps in fragility modeling for coastal infrastructure resilience

      N. Saeednejad, J. Padgett
      ICOSSAR25.

      • 0
      •  read

    • Advancing seismic capacity curve predictions with a meta-modeling framework for structural systems

      M. Samiadel, F. Soleimani
      ICOSSAR25.

      • 0
      •  read

    • AI-driven decision support framework for bridge asset management at the network level

      A. Ghavidel, A. Du, S. Kameshwar, N. Mashrur
      ICOSSAR25.

      • 0
      •  read

    • Advancing seismic risk assessment: leveraging pre-trained neural networks for seismic fragility models

      D. O'Brien, M. Samiadel, F. Soleimani
      ICOSSAR25.

      • 0
      •  read

    • Prediction of aftershock characteristics

      M. Shu, R. Song
      ICOSSAR25.

      • 0
      •  read

    • Surrogate modeling using Gaussian process regression for analyzing uncertainty associated with various tsunami scenarios of an electrical power infrastructure

      A. Nishi, G. Shoji
      ICOSSAR25.

      • 0
      •  read

    • Seismic energy dissipation and system fragility analysis of continuous reinforced concrete highway bridges

      M. Rashid, M. Nishio
      ICOSSAR25.

      • 0
      •  read

    • Seismic risk of isolated highway bridges with high damping rubber bearings in cold regions

      J. Shen, J. Dang, S. Alam, A. Igarashi, Y. Hamada, T. Himeno
      ICOSSAR25.

      • 0
      •  read

    • Simulation of dynamic response of a ground-mounted solar panel array under stochastic wind loading

      H. Zhang, Y. Li, M. DeJong
      ICOSSAR25.

      • 0
      •  read

    • Dynamic bridge fragility: evaluating tsunami-induced vulnerabilities

      W. Iqbal, F. Soleimani
      ICOSSAR25.

      • 0
      •  read

    • Probabilistic assessment of a road bridge based on inspection data - a case study emphasizing concrete strength

      C. Kainz, S. Küttenbaum, T. Braml, M. Haslbeck, P. Kotz
      ICOSSAR25.

      • 0
      •  read

    • Consideration of multiple hazards and climate change in time-dependent resilience assessment

      C. Wang, B. Ayyub, H. Zhang, M. Beer
      ICOSSAR25.

      • 0
      •  read

    • Towards resilient water networks and proactive water management: machine learning frameworks for forecasting, detection, and localization of leakages

      J. Fayaz, L. Varga
      ICOSSAR25.

      • 0
      •  read

    • Innovative risk assessment approach for storm surge losses using adaptive models and machine learning algorithms

      M. Habibniaykoochesfahani, J. Lindt
      ICOSSAR25.

      • 0
      •  read

    • A method to simulate the spatial distribution of a seismic intensity on engineering bedrock for real-time earthquake disaster risk estimation

      Y. Tanaka, A. Akamatsu, M. Sugai, Y. Mori
      ICOSSAR25.

      • 0
      •  read

    • Hypothesis based reliability analysis

      M. Bittner, K. Zuev, M. Beer
      ICOSSAR25.

      • 0
      •  read

    • Directional subset simulation for reliability estimation

      W. Xia, B. Li, Z. Liao
      ICOSSAR25.

      • 0
      •  read

    • Stochastic modeling and sensitivity analysis for seismic response in bridge structures

      J. Kim, Z. Wang
      ICOSSAR25.

      • 0
      •  read

    • Physics-informed polynomial chaos expansions for geometric uncertainties

      N. Roa, M. Valdebenito, L. Novak, M. Faes
      ICOSSAR25.

      • 0
      •  read

    • Experimental investigation on basalt-composite materials with thermal insulation matrix

      V. Alecci, S. Galassi, D. Pugliese, G. Stipo, M. Stefano
      ICOSSAR25.

      • 0
      •  read

    • Integrated corrosion assessment of high-strength galvanized steel wires using corrosion appearance, surface information, and fatigue strength

      K. Miyachi, Y. Shibuki, K. Seto
      ICOSSAR25.

      • 0
      •  read

    • HPD has revolutionized Stochastic Modeling, Analysis, and Optimization; major implications

      J. Parks, M. Noori
      ICOSSAR25.

      • 0
      •  read

    • A data preprocessing method for predicting the failure probability of water supply pipelines

      C. Zong, J. Li
      ICOSSAR25.

      • 0
      •  read

    • Spatio-temporal deep learning model-aided seismic fragility analysis of long-span bridges considering spatial variability of ground motions

      Q. Zhong, D. Feng
      ICOSSAR25.

      • 0
      •  read

    • The shake table test study on high-rise shear walls considering the spatial variability of concrete mechanical properties

      J. Chen, J. Duan, J. Li
      ICOSSAR25.

      • 0
      •  read

    • Enhancing construction safety through UWB-IMU fusion, BIM integration, and game engine technologies for proactive hazard mitigation

      E. Piniano, M. Iwanami
      ICOSSAR25.

      • 0
      •  read

    • Integrated framework for hurricane-induced debris detection and prediction: enhancing coastal resilience

      K. Amini, Y. Liu, J. Padgett, G. Balakrishnan, A. Veeraraghavan
      ICOSSAR25.

      • 0
      •  read

    • An entropy-guided approximation framework for accelerating probability updates within Bayesian networks

      Z. Geng, M. Cheng
      ICOSSAR25.

      • 0
      •  read

    • Maintenance optimization of floating offshore wind turbines: digital twins and stochastic modeling for uncertainty management

      X. Zhang, A. Noshadravan
      ICOSSAR25.

      • 0
      •  read

    • An output-only damage identification method based on reinforcement-aided evolutionary algorithm and Bayesian inference regularization with heterogeneous data fusion

      G. Zhang, C. Wan, L. Xie, S. Xue
      ICOSSAR25.

      • 0
      •  read

    • A probabilistic framework to assess multi-hazard risks associated with concurrent and sequential events

      A. Mohammadi, M. Bensi
      ICOSSAR25.

      • 0
      •  read

    • Sustainability and resilience-driven prioritization for restoring critical infrastructure in multi-hazard contexts: conflict case

      N. Kopiika, R. Bari, J. Ninic, S. Argyroudis, S. Mitoulis
      ICOSSAR25.

      • 0
      •  read

    • Advancing seismic resilience: an innovative performance-based methodology for evaluating bridge seismic performance with soil-structure interaction considerations

      K. Zadeh, C. Ventura
      ICOSSAR25.

      • 0
      •  read

    • Machine learning-driven synthesis of multi-hazard fragility surfaces for seismic and tsunami resilience

      M. Harati, J. Lindt
      ICOSSAR25.

      • 0
      •  read

    • Variance gamma process parameter estimation for structural capacity degradation

      T. Micic
      ICOSSAR25.

      • 0
      •  read

    • Reliability of imprecise information of mobile location data and the influence of social demographics on evacuation traffic

      R. Corotis, W. Seites-Rundlett, C. Torres-Machi
      ICOSSAR25.

      • 0
      •  read

    • The COFUN development for evaluating containment failure frequency using Stress-Strength analysis

      D. Lim, M. Jae
      ICOSSAR25.

      • 0
      •  read

    • Optimal adaptive infrastructure planning under climate change

      K. Papakonstantinou, A. Bhattacharya, A. Sharma, G. Warn
      ICOSSAR25.

      • 0
      •  read

    • Uncertain climate futures - on optimality and robustness of climate adaptation options

      Y. Li, X. Wang, M. Liu, Y. Dong, M. Faber
      ICOSSAR25.

      • 0
      •  read

    • Does climate change create more risks or opportunities for offshore wind energy in hurricane zones?

      W. Pang, S. Bhowmik
      ICOSSAR25.

      • 0
      •  read

    • Collective responsibility in wildfire mitigation: optimizing subsidies for enhancing community resilience

      Z. Wang, J. Lee
      ICOSSAR25.

      • 0
      •  read

    • Risk-based lifecycle benefit-cost analysis for tornado hazard mitigation for wood-frame residential buildings

      A. Badmus, E. Sutley
      ICOSSAR25.

      • 0
      •  read

    • Random vibrations of axisymmetric viscoelastic nonlocal plates

      F. Pinnola, F. Scudieri, G. Alotta, F. Sciarra
      ICOSSAR25.

      • 0
      •  read

    • Time-dependent uncertainty quantification analysis of complex dynamical systems

      A. Ebadollahi, S. Rahman
      ICOSSAR25.

      • 0
      •  read

    • DR-PDEE-based efficient stochastic dynamical response analysis for high-dimensional nonlinear systems subject to multiplicative non-white excitation

      T. Sun, J. Chen
      ICOSSAR25.

      • 0
      •  read

    • Statistical linearization-based optimal tuning of tuned mass nonlinear damper inerter for seismic response mitigation of buildings with hysteretic inter-story isolation

      K. Rajana, A. Giaralis
      ICOSSAR25.

      • 0
      •  read

    • Analysis of stochastic dynamic responses based on the reduced-dimensional probability evolution equation under the influence of additive Gaussian white noise

      J. Song, J. Li
      ICOSSAR25.

      • 0
      •  read

    • An approximate analytical method for evaluating the first-crossing probability of base-isolated structures subjected to stochastic pulse-like ground motions

      R. Han, R. Caspeele, Y. Peng, M. Loccufier, X. Zhao
      ICOSSAR25.

      • 0
      •  read

    • Teoría de la información cuántica del vacío (TICV): El código fuente del universo

      I. Villarroel
      Ignacio Villarroel's personal collection (2025). 1

      Abstract

      La teoría de la información cuántica del vacío (TICV) plantea que el vacío cuántico no constituye una ausencia, sino una red activa de información entrelazada cuyas correlaciones generan la estructura del espacio-tiempo, el campo gravitacional y los fenómenos cuánticos. En este trabajo se desarrolla formalmente este enfoque, mostrando cómo principios como el entrelazamiento cuántico y la holografía permiten reinterpretar la geometría y la dinámica del universo desde una perspectiva informacional. Se demuestra que la paradoja de la pérdida de información en agujeros negros puede resolverse mediante redistribución no local de entropía en el vacío, preservando la unitariedad del sistema. Asimismo, se derivan predicciones concretas: correcciones tipo Yukawa a la ley de gravedad a escala micrométrica, firmas angulares en correlaciones ópticas (C(θ) ∝ cos(2θ)), y una corrección logarítmica positiva a la entropía de Bekenstein–Hawking. Estas hipótesis, aunque especulativas, son contrastables mediante tecnologías actuales como sensores cuánticos, interferometría de átomos fríos y simulaciones cuánticas. Finalmente, se discuten posibles aplicaciones en computación cuántica topológica, metrología de precisión y simulaciones de geometría emergente, así como conexiones con teorías como LQG, cuerdas y gravedad entraronpica. La TICV ofrece así un marco unificador que vincula mecánica cuántica y relatividad general, posicionando al vacío como el “código fuente” que estructura la realidad física.  

      Abstract
      La teoría de la información cuántica del vacío (TICV) plantea que el vacío cuántico no constituye una ausencia, sino una red activa [...]

      • 8
      •  read

    • Numerical Study of a Vertical Axis Wind Turbine with an Inner Cylindrical Deflector

      N. Al-Khawlani, A. Fazlian, A. Abdalkarem, A. Ibrahim, Z. Harun
      Special Issue Rev. int. métodos numér. cálc. diseño ing. (2025). 1

      Abstract

      Climate change demands innovative renewable energy solutions, with wind energy emerging as a key resource. Vertical-axis wind turbines (VAWTs) are particularly suited for low-speed, turbulent wind environments due to their ability to capture wind from all directions. However, VAWTs face aerodynamic difficulties, especially at the downwind, where problems like negative torque and decreased efficiency are frequent. This study explores a novel solution for enhancing VAWT performance by incorporating an inner cylindrical deflector aimed at optimizing airflow around the blades. Using computational fluid dynamics (CFD) simulations, the study focuses on a three-bladed H-type VAWT with an airfoil profile of NACA0018 at a turbine diameter of 1 m. The simulations begin by evaluating a bare turbine arrangement, which shows negative torque beginning at an azimuth angle of about 165 degrees onwards. When a cylindrical deflector of different diameters is introduced, the torque coefficient and overall performance are greatly enhanced by a 0.3-meter diameter. The cylindrical deflector’s effectiveness is demonstrated by the 15% increase in power coefficient C pthat results from its inclusion. These results highlight how an inner cylindrical deflector could be a useful addition to VAWTs, resolving significant inefficiencies while preserving a positive angle of attack. This strategy offers a way forward for more effective VAWT designs in renewable energy systems in addition to increasing energy output. To enhance the efficiency of vertical-axis wind turbines (VAWTs) for both urban and rural applications, future research could investigate different configurations and empirically confirm these findings.OPEN ACCESS Received: 21/01/2025 Accepted: 10/03/2025 Published: 20/04/2025

      Abstract
      Climate change demands innovative renewable energy solutions, with wind energy emerging as a key resource. Vertical-axis wind turbines (VAWTs) are particularly suited for [...]

      • 13
      •  read

    • MTNet: Multi-Task Underwater Image Enhancement Method Based on Retinex

      Y. song, X. Deng, F. Wang, H. Shao
      Special Issue Rev. int. métodos numér. cálc. diseño ing. (2025). 2

      Abstract

      Underwater images play a critical role in underwater exploration and related tasks. However, due to light attenuation and other underwater factors, underwater images often suffer from color distortion and low contrast, which to some extent limit the efficiency and safety of underwater exploration. To meticulously address these issues and enhance the accuracy and reliability of underwater exploration, this paper proposes a multi-task underwater image enhancement method based on Retinex theory. This method divides the underwater image enhancement task into several sub-tasks, including image decomposition, color correction, detail reconstruction, and illumination adjustment. Specialized sub-networks— DecomNet, DecolorNet, and DelightNet—are designed to specifically address these problems, thereby alleviating color distortion, enhancing image details, and improving contrast. Experiments conducted on several publicly underwater image datasets indicate that the quality of underwater images is significantly improved after enhancement with the proposed method, compared to other representative underwater image processing techniques. For example, on the real-world dataset Underwater Image Enhancement Benchmark, the MSE, Structural Similarity Index Measure, and Peak signal-to-noise ratio scores achieved were 453.480, 0.901, and 25.145, respectively. This study holds significant implications for underwater exploration, with potential applications in the fields of marine research and underwater archaeology.OPEN ACCESS Received: 03/11/2024 Accepted: 27/12/2024 Published: 20/04/2025

      Abstract
      Underwater images play a critical role in underwater exploration and related tasks. However, due to light attenuation and other underwater factors, underwater images often [...]

      • 0
      •  read

    • Stability in the Sense of Hyers-Ulam of Proportional Fractional Stochastic Integral Equations

      O. Alqasem, R. Fakhfakh
      Rev. int. métodos numér. cálc. diseño ing. (2025). 1

      Abstract

      This work investigates the existence, uniqueness, and stability in the sense of Hyers-Ulam for a class of proportional fractional Itô-Doob stochastic integral equations (PFIDSIE). To establish these properties, we employ the Banach fixed point theorem (BFPT) in combination with several fundamental mathematical inequalities that provide insight into the structure of PFIDSIEs. The approach is structured to demonstrate not only the theoretical foundation of the existence and uniqueness of solutions but also the stability of these solutions in the Hyers-Ulam sense, which ensures that approximate solutions remain close to the exact solution under small perturbations. The results contribute to the broader field of fractional stochastic differential equations, particularly in situations where fractional dynamics and stochastic processes intersect. Furthermore, the findings are illustrated through three examples, showcasing the applicability and utility of the developed theory in practical settings.OPEN ACCESS Received: 29/01/2025 Accepted: 14/03/2025 Published: 20/04/2025

      Abstract
      This work investigates the existence, uniqueness, and stability in the sense of Hyers-Ulam for a class of proportional fractional Itô-Doob stochastic integral equations [...]

      • 0
      •  read

    • Optimal Control Strategies for COVID-19 Epidemic Management: A Mathematical Modeling Approach Using the SEIQR Framework

      R. Ramalingam, A. Gnanaprakasam, S. Boulaaras
      Rev. int. métodos numér. cálc. diseño ing. (2025). 2

      Abstract

      The COVID-19 pandemic has necessitated the development of robust mathematical models to understand and mitigate its impact. This study presents a compartmental model for the Indian pandemic COVID-19 dynamics, incorporating key compartments such as susceptible, exposed, infected, quarantined, and recovered populations. The positivity and boundedness of solutions are rigorously analyzed to ensure that the model remains biologically meaningful over time. A detailed exploration of the basic reproduction number R

      Abstract
      The COVID-19 pandemic has necessitated the development of robust mathematical models to understand and mitigate its impact. This study presents a compartmental model for the [...]

      • 0
      •  read

    • Matrix Algorithms Based on Jacobi and Romanovski-Jacobi Polynomials for Solving the FitzHugh-Nagumo Nonlinear Equation

      R. hafez, S. Boulaaras, H. Khalifa
      Rev. int. métodos numér. cálc. diseño ing. (2025). 3

      Abstract

      The present paper develops and makes efficient, a new, state-of-theart numerical technique for solving the FitzHugh-Nagumo Nonlinear Equation (FH-NNE) with initial and boundary conditions, which represents perhaps the simplest mathematical model for discussing biological systems, including nerve signals and cardiac behavior. Which consists of operational matrices and spectral techniques based on Jacobi and Romanovski-Jacobi polynomials. It is ensured that the nonlinear system is modeled so accurately that it can be effectively solved to ensure the best accuracy combined with computational economy. Comparing the results with the respective numerical results, it is seen that the proposed techniques outdo the standard ones as respects accuracy and efficiency of computation.OPEN ACCESS Received: 11/01/2025 Accepted: 25/02/2025 Published: 07/04/2025

      Abstract
      The present paper develops and makes efficient, a new, state-of-theart numerical technique for solving the FitzHugh-Nagumo Nonlinear Equation (FH-NNE) with initial and boundary [...]

      • 0
      •  read

    • DOENÇA POLICÍSTICA DO FÍGADO ASSOCIADA A DOENÇA POLICÍSTICA RENAL: RELATO DE CASO NA ATENÇÃO BÁSICA E REVISÃO DA LITERATURA

      V. Prado Junco
      Collection of Articles on Medicine (2025). 4

      Abstract

      A Doença Policística do Fígado (DPF) é caracterizada pela formação de múltiplos cistos hepáticos e pode se apresentar de forma isolada ou associada à Doença Renal Policística Autossômica Dominante (DRPAD). A maioria dos casos é assintomática, mas alguns pacientes desenvolvem sintomas compressivos e complicações. Este trabalho descreve um caso clínico de DPF diagnosticado incidentalmente em paciente sintomática e realiza uma revisão crítica da literatura recente, enfatizando aspectos etiológicos, fisiopatológicos e terapêuticos da doença.

      Abstract
      A Doença Policística do Fígado (DPF) é caracterizada pela formação de múltiplos cistos hepáticos e pode se apresentar [...]

      • 14
      •  read

    • '''Título:''' Interfaces entre Prática e Formação: Desempenho Profissional e Aquisição de Conhecimento na Pós-Graduação em Medicina de Família e Comunidade - Experiência como tutor. SP - Brasil

      V. Prado Junco
      Collection of Articles on Medicine (2025). 3

      • 45
      •  read

    • Numerical Study of a Vertical Axis Wind Turbine with an Inner Cylindrical Deflector

      N. Al-Khawlani, A. Fazlizan, A. Abdalkarem, A. Ibrahim, Z. Harun
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 25

      Abstract

      Climate change demands innovative renewable energy solutions, with wind energy emerging as a key resource. Vertical-axis wind turbines (VAWTs) are particularly suited for low-speed, turbulent wind environments due to their ability to capture wind from all directions. However, VAWTs face aerodynamic difficulties, especially at the downwind, where problems like negative torque and decreased efficiency are frequent. This study explores a novel solution for enhancing VAWT performance by incorporating an inner cylindrical deflector aimed at optimizing airflow around the blades. Using computational fluid dynamics (CFD) simulations, the study focuses on a three-bladed H-type VAWT with an airfoil profile of NACA0018 at a turbine diameter of 1 m. The simulations begin by evaluating a bare turbine arrangement, which shows negative torque beginning at an azimuth angle of about 165 degrees onwards. When a cylindrical deflector of different diameters is introduced, the torque coefficient and overall performance are greatly enhanced by a 0.3-meter diameter. The cylindrical deflector’s effectiveness is demonstrated by the 15% increase in power coefficient C pthat results from its inclusion. These results highlight how an inner cylindrical deflector could be a useful addition to VAWTs, resolving significant inefficiencies while preserving a positive angle of attack. This strategy offers a way forward for more effective VAWT designs in renewable energy systems in addition to increasing energy output. To enhance the efficiency of vertical-axis wind turbines (VAWTs) for both urban and rural applications, future research could investigate different configurations and empirically confirm these findings.OPEN ACCESS Received: 21/01/2025 Accepted: 10/03/2025 Published: 20/04/2025

      Abstract
      Climate change demands innovative renewable energy solutions, with wind energy emerging as a key resource. Vertical-axis wind turbines (VAWTs) are particularly suited for [...]

      • 72
      •  read

    • A Fully Coupled Mechano-Chemical Digital Model for Environment-Induced Damage and Damage Propagation

      S. Lv, W. He, Y. Miao, W. Zhang, T. Srivatsan
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 24

      Abstract

      It is vital to enable and establish both comprehension and simulation of environment-induced damage processes for predicting the remaining service life of engineering structures and components, conducting reliability analysis, and designing to enhance the material’s overall resistance to such damage. A fully coupled mechano-chemical peridynamic (PD) model for environment-induced degradation, including corrosion, was developed based on both peridynamic corrosion theory and the mechano-chemical effect theory. When the conditions for phase transition are satisfied, the movement of boundaries occurs autonomously, without requiring any supplementary boundary conditions to be specified within the model. This model effectively simulates degradation arising from the combined and interactive influences of mechano-chemical phenomena. To validate the model, in-situ electrochemical tests and stress corrosion cracking tests were conducted, with the results used to explore the effects of stress and/or load on the kinetics of environment-induced damage in an aluminum alloy. The experimental electrochemical parameter values closely match theoretical predictions, validating the mechano-chemical effects. As stress levels increase, the corrosion potential of aluminum alloy 7050 shifts negatively, corrosion current density increases, and the severity of corrosion worsens. The explicit finite difference method was employed to simulate the damage evolution of a typical stress corrosion crack in the aluminum alloy. This numerical model easily simulates the morphological evolution of corrosion pits with arbitrary shapes under different stress conditions during growth. The numerical predictions closely match the experimental findings. This innovative study demonstrates that the fully coupled mechano-chemical peridynamic corrosion model can accurately capture environment-induced damage and is a valuable tool for investigating the propagation and growth of such damage in aggressive environments.OPEN ACCESS Received: 24/07/2024 Accepted: 15/11/2024 Published: 20/04/2025

      Abstract
      It is vital to enable and establish both comprehension and simulation of environment-induced damage processes for predicting the remaining service life of engineering structures [...]

      • 3
      •  read

    • Coupled Magnetothermal Effects in Biomagnetic Fluid Flow over a Stretched Sheet with Copper Nanoparticles

      H. Zuberi, N. Zainal
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 23

      Abstract

      The study of biomagnetic nanofluids has gained significant attention due to their applications in biomedical engineering and thermal management systems, where precise control of heat and fluid flow is crucial. This research investigates the coupled effects of a magnetic dipole, thermal radiation, and copper nanoparticles on biomagnetic nanofluid flow over a stretching sheet to analyze their impact on velocity and temperature distribution. The governing equations are solved numerically using MATLAB’s bvp4c solver over the computational domain [0, 20], and results are validated against benchmark studies to ensure accuracy. Findings reveal that increasing nanoparticle volume fraction enhances thermal conductivity but reduces velocity due to increased viscosity, while stronger ferromagnetic interactions intensify localized heating, significantly altering temperature gradients. Additionally, streamline analysis illustrates the magnetic field’s influence on flow structures, and surface plots provide a comprehensive visualization of heat dissipation within the nanofluid. The study also highlights the role of viscous dissipation and Prandtl number in thermal regulation, offering insights applicable to magnetic hyperthermia treatments, targeted drug delivery, and advanced cooling technologies.OPEN ACCESS Received: 18/02/2025 Accepted: 21/03/2025 Published: 20/04/2025

      Abstract
      The study of biomagnetic nanofluids has gained significant attention due to their applications in biomedical engineering and thermal management systems, where precise control [...]

      • 1
      •  read

    • A Sphalt Crack Recognition Algorithm Based on Fuzzy Automatic Threshold C-Means Clustering Algorithm

      G. Zheng, Z. Jiang
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 22

      Abstract

      Cracks are the most significant type of pavement disease, and the precise segmentation of cracks serves as an important decision-making basis for national preventive road maintenance management. In response to the problem of crack segmentation accuracy of existing pavement models under complex backgrounds, a crack recognition algorithm for remote sensing images based on the Fuzzy Automatic Threshold C-Means Clustering Algorithm (FATCM) was designed by incorporating local spatial and gray-level information constraints. The FATCM method can strengthen the inherent effectiveness of the traditional fuzzy C-means (FCM) algorithm, achieve uniform segmentation through fuzzy membership calculation and iterative process, and effectively eliminate edge ambiguity. The core innovation of FATCM resides in the introduction of the fuzzy local similarity measure, which is predicated upon the pixel spatial attraction model. This novel measure is astutely applied to automatically strike a refined equilibrium. Specifically, it ensures a high degree of insensitivity to noise, a factor of paramount importance in safeguarding the integrity of image data. Simultaneously, it minimizes the manifestation of edge-blurring artifacts, thereby proficiently retaining the minute and crucial details of the image. Multiple types of images in the Crack500 dataset were used in the experiments to evaluate the performance of FATCM. The experimental results show that this method has good detection results and can effectively extract weakly contrasted cracks and small cracks.OPEN ACCESS Received: 24/07/2024 Accepted: 16/12/2024 Published: 20/04/2025

      Abstract
      Cracks are the most significant type of pavement disease, and the precise segmentation of cracks serves as an important decision-making basis for national preventive road [...]

      • 1
      • 5/5
      •  read

    • A Numerical Study on MHD 3-D Casson-Nanofluid Flow Past an Exponentially Stretching Sheet with Double Cattaneo-Christov Diffusion Effects

      M. Gundagani, V. Javvaji, D. Gadipalli, S. Pallerla, Q. Al-Mdallal, S. Bhati
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 21

      Abstract

      A numerical study of a three-dimensional steady-state flow of a viscous incompressible Casson fluid containing nanofluid particles interacting with a stretching sheet is the primary focus of this work. The equations for concentration and energy include the Cattaneo-Christov double diffusion effects. This work transforms deriving the controlling boundary layer equations into similarity equations using non-linear similarity transformations in three-dimensional analyses. To evaluate this study, the following was done. In the case of the combined Runge-Kutta method and the shooting approach, it is possible to provide an analytical solution for the obtained equations. Moreover, a comparative analysis of the collected data with previously published results under certain circumstances demonstrates a significant concordance between the two sets of findings. The problem is governed by thirteen physical parameters. Figures and tables are used to depict the effects of different characteristics in the following chapters, including temperature, velocity, and concentration profiles, on distinct flow distributions.OPEN ACCESS Received: 08/01/2025 Accepted: 28/03/2025 Published: 20/04/2025

      Abstract
      A numerical study of a three-dimensional steady-state flow of a viscous incompressible Casson fluid containing nanofluid particles interacting with a stretching sheet is the [...]

      • 5
      •  read

    • A Human-Computer Collaborative Behavior Measurement Model for Assembly in Constrained Visibility Environments

      H. Zhan, Z. Wang, Y. Wang, Q. Lu, M. Zhu
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 20

      Abstract

      Collision interference detection is an important concern in the manual installation of cable harnesses. Due to the complex and variable layout of cable harness installations, hand assembly movements are prone to collisions, contact, and other forms of interaction with surrounding equipment. Furthermore, cable harnesses often need to be routed along specific paths in visually constrained environments. Currently, there is a lack of modeling in the extraction of hand motion parameters and the data analysis of hand action intent. To address this challenge, we propose a novel human-machine collaboration behavior measurement model. This model not only provides a rapid solution for extracting hand motion parameters but also delivers efficient and natural visual feedback for the behavioral intent reflected by hand motion features. First, we introduce a hand motion parameter extraction mechanism based on a hand kinematics model. Second, we develop a virtual-to-real spatial registration model specifically designed for visually constrained conditions, enabling accurate recognition and 3D calibration of hand action intent. A user study experiment demonstrates that the proposed model outperforms traditional hand behavior measurement models in terms of manual task efficiency, hand motion recognition accuracy, and the naturalness of hand interactions. This improvement is particularly evident in visually constrained environments, effectively addressing challenges in obstacle avoidance and intent inference during spatially constrained assembly tasks.OPEN ACCESS Received: 10/09/2024 Accepted: 08/11/2024 Published: 20/04/2025

      Abstract
      Collision interference detection is an important concern in the manual installation of cable harnesses. Due to the complex and variable layout of cable harness installations, [...]

      • 3
      •  read

    • Stability in the Sense of Hyers-Ulam of Proportional Fractional Stochastic Integral Equations

      O. Alqasem, R. Fakhfakh
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 19

      Abstract

      This work investigates the existence, uniqueness, and stability in the sense of Hyers-Ulam for a class of proportional fractional Itô-Doob stochastic integral equations (PFIDSIE). To establish these properties, we employ the Banach fixed point theorem (BFPT) in combination with several fundamental mathematical inequalities that provide insight into the structure of PFIDSIEs. The approach is structured to demonstrate not only the theoretical foundation of the existence and uniqueness of solutions but also the stability of these solutions in the Hyers-Ulam sense, which ensures that approximate solutions remain close to the exact solution under small perturbations. The results contribute to the broader field of fractional stochastic differential equations, particularly in situations where fractional dynamics and stochastic processes intersect. Furthermore, the findings are illustrated through three examples, showcasing the applicability and utility of the developed theory in practical settings.OPEN ACCESS Received: 29/01/2025 Accepted: 14/03/2025 Published: 20/04/2025

      Abstract
      This work investigates the existence, uniqueness, and stability in the sense of Hyers-Ulam for a class of proportional fractional Itô-Doob stochastic integral equations [...]

      • 1
      •  read

    • MTNet: Multi-Task Underwater Image Enhancement Method Based on Retinex

      Y. Song, X. Deng, H. Shao, F. Wang
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 18

      Abstract

      Underwater images play a critical role in underwater exploration and related tasks. However, due to light attenuation and other underwater factors, underwater images often suffer from color distortion and low contrast, which to some extent limit the efficiency and safety of underwater exploration. To meticulously address these issues and enhance the accuracy and reliability of underwater exploration, this paper proposes a multi-task underwater image enhancement method based on Retinex theory. This method divides the underwater image enhancement task into several sub-tasks, including image decomposition, color correction, detail reconstruction, and illumination adjustment. Specialized sub-networks— DecomNet, DecolorNet, and DelightNet—are designed to specifically address these problems, thereby alleviating color distortion, enhancing image details, and improving contrast. Experiments conducted on several publicly underwater image datasets indicate that the quality of underwater images is significantly improved after enhancement with the proposed method, compared to other representative underwater image processing techniques. For example, on the real-world dataset Underwater Image Enhancement Benchmark, the MSE, Structural Similarity Index Measure, and Peak signal-to-noise ratio scores achieved were 453.480, 0.901, and 25.145, respectively. This study holds significant implications for underwater exploration, with potential applications in the fields of marine research and underwater archaeology.OPEN ACCESS Received: 03/11/2024 Accepted: 27/12/2024 Published: 20/04/2025

      Abstract
      Underwater images play a critical role in underwater exploration and related tasks. However, due to light attenuation and other underwater factors, underwater images often [...]

      • 5
      •  read

    • Study and Optimization of Energy Absorption Characteristics of Windowed Multi-Cell Thin-Walled Conical Tube under the Axial Loading

      T. Wei, X. Lin, X. Zhou, C. Kou, S. Zeng
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (2), 17

      Abstract

      Conical tubes have attracted significant attention due to their more stable deformation mode and lower initial peak load compared to non-conical tubes under axial load. Firstly, based on LS-DYNA software and a multiobjective optimization algorithm, simulations of the conical tube structure under axial load were conducted to determine the optimal dimensions of the conical tube. Then, based on the optimal unicellular conical tube structure, the energy absorption characteristics of the windowed multicell conical tube structures with horizontal and vertical partitions and square holes were designed, and a predictive expression for the mean load was proposed based on the simulation data. Finally, the results show that the optimal dimensions of the mono-cell conical tube are ϕ= 10° and t = 1.29 mm, while the optimal dimensions of the windowed multi-cell conical tube structure are four transverse split panels (v= 4), four vertical split panels (n= 4), and four holes (k = 4). Compared to the unicellular conical tube, the energy absorption efficiency of the windowed multi-cell conical tube has increased by 70.06%, while the initial peak load has decreased by 23.60%. Furthermore, both simulation and experimental results show that the predictive expression for the mean load of the windowed multicell conical tube exhibits good universality and reliability. The research results provide a new design concept for thin-walled conical tube energy absorption boxes.OPEN ACCESS Received: 24/07/2024 Accepted: 09/12/2024 Published: 20/04/2025

      Abstract
      Conical tubes have attracted significant attention due to their more stable deformation mode and lower initial peak load compared to non-conical tubes under axial load. Firstly, [...]

      • 1
      •  read
    • Previous
    • 1
    • 2
    • 3
    • 4
    • 5
    • Next
    Terms of use    Ethics    Privacy policy    Sitemaps    FAQs    Help    About us

    © 2025 Scipedia, S.L.