Engineering, Civil

Publications

• RIMNI SPECIAL ISSUE - Real Time Automation through Soft Computing and Mathematical Modeling Techniques

  Scope

  Deadline Date: 10 August 2026

   

  The integration of soft computing, machine learning, and mathematical modeling is transforming real time automation across a wide range of engineering domains. With the rapid growth of the Internet of Things, edge computing, and cloud based systems, there is an increasing need for intelligent and adaptive solutions that can process large volumes of data and make decisions autonomously. These technologies empower systems to operate dynamically, respond to environmental changes, and optimize performance without manual intervention. Edge computing enables data processing close to the source, which reduces latency and supports real time responsiveness in applications such as healthcare monitoring, smart transportation, and home automation. Cloud computing complements edge devices by providing centralized learning, deeper analysis, and large scale storage. The combination of cloud and edge systems allows for the development of robust architectures that support distributed intelligence and real time simulation.

  Soft computing techniques such as neural networks, fuzzy logic, and evolutionary algorithms are well suited to handle imprecise and nonlinear data. When integrated with mathematical modeling, these methods enable the construction of adaptive and predictive systems for engineering process optimization, intelligent control, and simulation. Additionally, automated learning pipelines help models evolve with real time data, improving accuracy, reliability, and efficiency.

  This call for papers seeks contributions that explore the synergy of soft computing and mathematical modeling in real time automation. Areas of interest include intelligent edge AI, secure data driven decision making, predictive maintenance, and scalable engineering solutions. The objective is to foster research that advances smart and autonomous systems through computational intelligence and mathematical frameworks.

  Scope

  Deadline Date: 10 August 2026

   

  The [...]

  • 0
  • 0
  • 5/5
  • read

• RIMNI SPECIAL ISSUE - Recent advancements in Statistical Estimation using Auxiliary information

  Scope

  Deadline Date: 31 December 2025

   

  Sampling is advantageous not only in the fields of Arts, Science, and Technology but is also useful in our daily lives. Due to sample variability, researchers apply scientific probability-based designs to select the sample. This reduces the risk of a distorted view of the population and allows statistically valid inferences to be made from the sample. The basic purpose of sampling is to obtain consistent, efficient, and unbiased estimates of the desired population parameters while considering cost, time, and effort savings. It is emphasized that a sample survey is usually less expensive than a census survey and the desired information may be obtained with a greater degree of accuracy. In sampling theory, emphasis is placed on the efficient use of suitable auxiliary information to improve the precision of estimates and reduce sampling errors.

  In recent years, we have been moving toward comprehensive data analytics, a deeper understanding of data, and decision-making based on data. We have lots of data, but not always complete information. To understand the broader population and data behavior, researchers rely on estimation of population parameters using sample statistics and appropriate sampling strategies. Estimation of parameters like mean, median, mode, variance, skewness, and kurtosis is crucial in engineering for understanding system behaviour, performance evaluation, optimization, and predictive modelling.

  The efficiency of estimators improves when they are closely related to the variable under study. For instance, historical system performance data can serve as auxiliary information to estimate future outcomes in engineering systems. Estimation is a fundamental problem in nearly every technical field, and simulation studies can enhance the robustness and applicability of these estimation methods.

  This special issue aims to bring together researchers and practitioners working on estimation procedures using sampling and simulation theory to share novel ideas and findings, particularly focusing on engineering domains such as reliability analysis, structural modelling, system optimization, and industrial applications.

  The Topics of interest for this special issue include, but are not limited to:

  Theory of Estimation of Population Parameters:

  •           Using auxiliary information

  •           Using Auxiliary Attributes

  •           Propagation Measurement Errors

  •           Application of the above in various engineering fields.

   

  Estimation Methods :

  •           Using machine learning algorithm

  •           Using linear and logistic regression

  •           Big Data models

  •           Application of the above in various engineering fields.  

  Scope

  Deadline Date: 31 December 2025

   

  Sampling is advantageous not only in the fields of Arts, Science, and Technology but is also useful in our daily [...]

  • 0
  • 0
  • 5/5
  • read

• RIMNI SPECIAL ISSUE - Simulation and Numerical Methods for Design of Solar Energy Systems

  Scope

  Deadline Date: 31 March 2026

   

  The increasing demand for renewable energy has driven significant advancements in solar energy systems, necessitating the development of accurate simulation and numerical methods for their efficient design, analysis, and optimization. This special issue of RIMNI - International Journal of Numerical Methods for Calculation and Design in Engineering aims to showcase cutting-edge research on computational techniques that enhance the performance, reliability, and economic feasibility of solar energy technologies.

  We invite contributions addressing novel numerical models, computational fluid dynamics (CFD), finite element analysis (FEA), artificial intelligence-based optimization, and multi-physics simulations applied to photovoltaic (PV) systems, concentrated solar power (CSP), hybrid solar technologies, and solar thermal applications. Topics of interest include, but are not limited to:

  • Advanced numerical methods for solar radiation modeling and resource assessment
  • Simulation-based optimization of photovoltaic and CSP systems
  • Thermal performance modeling of solar collectors and storage systems
  • Computational approaches for hybrid solar energy integration
  • AI-driven and machine learning models for solar energy forecasting and control
  • Numerical simulations for material and structural analysis in solar energy components

  This special issue aims to bridge the gap between theoretical advancements and real-world applications, providing valuable insights into the future of solar energy system design through computational methodologies.

  Scope

  Deadline Date: 31 March [...]

  • 0
  • 0
  • 5/5
  • read

• RIMNI SPECIAL ISSUE - Simulation, Modeling and Uncertainty Quantification in Product Design and Manufacturing

  Scope

  Deadline Date: 31 May 2026

   

  In modern engineering, uncertainty is an inherent characteristic of product design and manufacturing processes. Sources of uncertainty—ranging from material variability and geometric tolerances to operational conditions and human-induced factors—can significantly affect product performance, quality, and reliability. Thus, how to accurately simulate, model and quantify these uncertainties to ensure high reliability and long service life of products is a research hotspot in the field of engineering design. Uncertainty quantification in product design and manufacturing is a powerful tool to tackle the above challenges.

  Uncertainty Quantification (UQ) provides a systematic framework to model, propagate, and mitigate these uncertainties, ensuring more robust and reliable product development. In recent years, the integration of UQ with advanced computational tools and surrogate models has enabled engineers to tackle complex, high-dimensional problems that were previously intractable.

  This special issue would aim to establish an academic exchange platform between experts and scholars, also, to establish a common understanding about the state of the field and draw a road map on where the research is heading, highlight the issues and discuss the possible solutions, and provide the data, models, and methods necessary to perform uncertainty quantification in product design and manufacturing. Potential topics include, but are not limited to:

  (1)Computer simulation and mathematical modeling in product design and manufacturing

  (2)Theory and method of uncertainty quantification in product design and manufacturing

  (3)Design and manufacturing process parameters optimization based on computer simulation

  (4)Reliability analysis and reliability design optimization based on surrogate model

  (5)Design methods and applications for high-reliability and long-life products

  Scope

  Deadline Date: 31 May 2026

   

  In modern engineering, uncertainty is an inherent characteristic of product design and manufacturing processes. [...]

  • 0
  • 0
  • 5/5
  • read

• Technical and research reports of CompassIs

  Scope

  • 0
  • 0
  • 5/5
  • read

• Technical Reports of the International Centre for Numerical Methods in Engineering (CIMNE)

  Scope

  The collection gathers the Technical Reports of the International Centre for Numerical Methods in Engineering (CIMNE)

  • 20
  • 2778
  • 5/5
  • read

• Text books of the International Centre for Numerical Methods in Engineering (CIMNE)

  Scope

  The collection gathers the text books of the International Centre for Numerical Methods in Engineering (CIMNE).

  • 0
  • 0
  • 5/5
  • read

• Videos of Plenary Lectures presented at the IV International Conference on Particle-Based Methods. Fundamentals and Applications (PARTICLES 2015)

  Scope

  Particles 2015 (http://congress.cimne.com/particles2015/frontal/default.asp) will address both the fundamental basis and the applicability of state-of-the-art particle-based computational methods that can be effectively used for solving a variety of problems in engineering and applied sciences.

  This collection gathers the plenary lectures presented at PARTICLES 2015, held on 28-30 September 2015, Barcelona, Spain.

  PARTICLES is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). It is also an International Association for Computational Mechanics (IACM) Special Interest Conference.

  Conference organized by CIMNE Congress Bureau.

  The next edition of this conference will be held in Barcelona, Spain, 28 - 30 October 2019 (https://congress.cimne.com/particles2019/frontal/default.asp)

  Scope

  Particles 2015 (http://congress.cimne.com/particles2015/frontal/default.asp) will address both the fundamental basis and the applicability of state-of-the-art particle-based computational methods that can [...]

  • 12
  • 870
  • 5/5
  • read

• Videos of Plenary Lectures presented at the VI International Conference on Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2015)

  Scope

  The objectives of COUPLED PROBLEMS 2015 ( http://congress.cimne.com/coupled2015/frontal/default.asp) are to present and discuss state of the art, mathematical models, numerical methods and computational techniques for solving coupling problems of multidisciplinary character in science and engineering. The conference goal is to make step forward in the formulation and solution of real life problems with a multidisciplinary vision, accounting for all the complex couplings involved in the physical description of the problem.

  COUPLED VI is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). It is also an International Association for Computational Mechanics (IACM) Special Interest Conference.

  Conference organized by CIMNE Congress Bureau.

  The next edition of this conference (Coupled 2021) will be held in Chia Laguna, South Sardinia, Italy, 13-16 June 2021 (https://congress.cimne.com/Coupled2021/frontal/default.asp) 

  Scope

  The objectives of COUPLED PROBLEMS 2015 ( http://congress.cimne.com/coupled2015/frontal/default.asp) are to present and discuss state of the art, mathematical models, numerical methods [...]

  • 9
  • 772
  • 5/5
  • read

• Videos of Plenary Lectures presented at the XIII International Conference on Computational Plasticity (COMPLAS 2015)

  Scope

  The objectives of the XIII International Conference on Computational Plasticity: Fundamentals and Applications (COMPLAS XIII, http://congress.cimne.com/complas2015/frontal/default.asp) are to address both the theoretical bases for the solution of plasticity problems and the numerical algorithms necessary for efficient and robust computer implementation. COMPLAS XIII aims to act as a forum for practitioners in the field to discuss recent advances and identify future research directions. 

  This collection gathers the plenary lectures presented at COMPLASS XIII, held on 1-3 September 2015 at Barcelona, Spain.

  COMPLAS XIII is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). It is also an International Association for Computational Mechanics (IACM) Special Interest Conference.

  Conference organized by CIMNE Congress Bureau.

  The next edition of this conference (COMPLAS 2019) will be held in Barcelona, Spain, 3-5 September 2019 (https://congress.cimne.com/complas2019/frontal/)

  Scope

  The objectives of the XIII International Conference on Computational Plasticity: Fundamentals and Applications (COMPLAS XIII, http://congress.cimne.com/complas2015/frontal/default.asp) are to address both the [...]

  • 16
  • 2223
  • 5/5
  • read

• Videos of Plenary Lectures presented at the XIV International Conference on Computational Plasticity (COMPLAS 2017)

  Scope

  The objectives of the XIV International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS 2017, http://congress.cimne.com/complas2017/frontal/default.asp) are to address both the theoretical bases for the solution of plasticity problems and the numerical algorithms necessary for efficient and robust computer implementation. COMPLAS 2017 aims to act as a forum for practitioners in the field to discuss recent advances and identify future research directions.

  COMPLAS 2017 is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). It is also an International Association for Computational Mechanics (IACM) Special Interest Conference.

  Conference organized by CIMNE Congress Bureau.

  The next edition of this conference (COMPLAS 2019) will be held in Barcelona, Spain, 3-5 September 2019 (https://congress.cimne.com/complas2019/frontal/)

  Scope

  The objectives of the XIV International Conference on Computational Plasticity, Fundamentals and Applications (COMPLAS 2017, http://congress.cimne.com/complas2017/frontal/default.asp) [...]

  • 20
  • 263
  • 5/5
  • read

• VIII International Conference on Particle-Based Methods (PARTICLES 2023)

  Scope

  PARTICLES 2023 will address both the fundamental basis and the applicability of state-of-the-art particle-based computational methods that can be effectively used for solving a variety of problems in engineering and applied sciences.
  The denotation "Particle-Based Methods" basically stands for two different computational models in solid and fluid mechanics.
  On the one hand, it represents discretization concepts in which the response of a continuum is projected onto “particles” carrying the mechanical deformation during deformations. Typical representatives are Meshless Methods, Smoothed Particle Hydrodynamics (SPH) methods, Moving Particle Simulation (MPS) methods, the Particle Finite Element Method (PFEM), the Material Point Method (MPM) and the Lattice-Boltzmann-Method (LBM), among others.
  The denotation also expresses the computational representation of physical particles existing on different scales. Classical versions are Molecular Dynamics (MD) or the Discrete (Distinct) Element Method (DEM). Here either the particles exist a priori like in granular matters or they evolve during the loading process. In some cases the two models of discretization and physical particles are interconnected.

  Scope

  PARTICLES 2023 will address both the fundamental basis and the applicability of state-of-the-art particle-based computational methods that can be effectively used for solving a variety of problems in engineering and applied sciences.
  The denotation "Particle-Based [...]

  • 63
  • 1859
  • 5/5
  • read

• Volumen 19, Nro 1

  Scope

  • 0
  • 0
  • 5/5
  • read

• XI Conference on Computational Methods in Marine Engineering (Marine 2025)

  Scope

  Marine conference is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS) and a Special Interest Conference of the International Association for Computational Mechanics (IACM). It is also supported by other scientific organizations in Europe and worldwide.

  The objective of Marine 2025 is to be a meeting place for researchers developing computational methods and scientists and engineers focusing on challenging applications in marine engineering.

   

  ISSN: 2938-8961

  Scope

  Marine conference is one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS) and a Special Interest Conference of the International Association for Computational [...]

  • 206
  • 1327
  • 5/5
  • read

• XV International Conference on Durability of Building Materials and Components (DBMC 2020)

  Scope

  Collection of papers presented at the 15th Edition of the International Conference on Durability of Building Materials and Components, Barcelona, Catalonia, October, 20-23, 2020 (DBMC 2020)

  • 242
  • 9664
  • 5/5
  • read