Behrouz Ahmadi‐Nedushan

ORCID: 0000-0002-2862-8874
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About
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Research Areas
  • Topology Optimization in Engineering
  • Infrastructure Maintenance and Monitoring
  • Structural Health Monitoring Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Hydrological Forecasting Using AI
  • Structural Load-Bearing Analysis
  • Fish Ecology and Management Studies
  • Composite Structure Analysis and Optimization
  • Innovative concrete reinforcement materials
  • Structural Engineering and Vibration Analysis
  • Hydrology and Sediment Transport Processes
  • Hydrology and Watershed Management Studies
  • Concrete Corrosion and Durability
  • Metaheuristic Optimization Algorithms Research
  • Species Distribution and Climate Change
  • Water Quality Monitoring Technologies
  • Structural mechanics and materials
  • Hydraulic and Pneumatic Systems
  • BIM and Construction Integration
  • Structural Analysis and Optimization
  • Probabilistic and Robust Engineering Design
  • Mechanical Systems and Engineering
  • Evolutionary Algorithms and Applications
  • Advanced machining processes and optimization
  • Non-Destructive Testing Techniques

Yazd University
2012-2025

Institut National de la Recherche Scientifique
2006-2008

Abstract Successful applications of stochastic models for simulating and predicting daily stream temperature have been reported in the literature. These generally tested on small rivers used only air as an exogenous variable. This study investigates modelling mean water temperatures Moisie River, a relatively large unregulated river located Québec, Canada. The objective is to compare different approaches previously streams relate streamflow indices. Various are model residuals, representing...

10.1002/hyp.6353 article EN Hydrological Processes 2006-08-23

Water temperature is an important physical variable in aquatic ecosystems. It can affect both chemical and biological processes such as dissolved oxygen concentration the metabolism growth of organisms. For water resource management, stream models that accurately reproduce essential statistical characteristics historical data be very useful. The present study deals with modeling Deschutes River average weekly maximum (AWMT) series using univariate stochastic approaches. Autoregressive (AR)...

10.1139/s06-067 article EN Journal of Environmental Engineering and Science 2007-07-01

10.1016/j.engappai.2012.01.012 article EN Engineering Applications of Artificial Intelligence 2012-02-03

Abstract This paper concerns with the optimal design of reinforced concrete earth-retaining walls. In recent years, successful applications Particle Swarm Optimization (PSO) in many optimization benchmark problems have been reported and indicated that PSO is a robust algorithm more efficient, requiring fewer number function evaluations, while leading to better or same quality results. Here, we propose use optimize The wall problem obviously constrained problem. To deal constraints dynamic...

10.4203/ccp.92.26 article EN Civil-comp proceedings 2009-08-14

Abstract The attempts made to manage water meet human requirements should also consider the needs of freshwater species and ecosystems. There are many tools available assess instream flow needs, one which is use habitat preference models. In this study, a fuzzy approach was used for modelling preferences two life stages Atlantic salmon ( Salmo salar ). Experienced fish biologists technicians contributed development sets rules spawning parr habitat. Fuzzy were defined depth, velocity...

10.1002/rra.1059 article EN River Research and Applications 2008-02-28

This article presents a method for the automatic generation of optimal strut-and-tie models in reinforced concrete structures using bi-directional evolutionary structural optimization method. The methodology presented is developed compliance minimization relying on Abaqus finite element software package. proposed approach deals with truss-like designs three-dimensional environment, addressing design corbels and joints as well bridge piers pile caps. Several examples are provided to show...

10.1080/0305215x.2017.1292382 article EN Engineering Optimization 2017-03-01

This paper introduces an innovative four-stage surrogate-assisted optimization algorithm designed to address discrete challenges in structural models using SAP2000. The synergistically combines the strengths of Cascade Forward Neural Network (CFNN), Comprehensive Learning Jaya (CLJAYA), and Pattern Search (PS) methodologies. process begins with refining CFNN a dataset generated by CLJAYA algorithm. Following model training, initial estimate is derived through algorithm, informed both...

10.2139/ssrn.4848196 preprint EN 2024-01-01

This article proposes a computationally efficient hybrid search approach for solution of constrained engineering problems by hybridizing differential evolution, very robust evolutionary algorithm, with sequential quadratic programming, nonlinear programming technique. Moreover, constraint handling method standard evolution was also modified embedding pareto based ranking scheme in the algorithm. The performance proposed algorithm evaluated on set well-known mathematical and benchmark...

10.6088/ijacit.12.14010 article EN International Journal of Advances in Computing and Information Technology 2012-08-20

This article investigates the effect of roof cover and stressed skin action on optimal design curved portal frames. According to effect, diaphragm is carrying part horizontal force structure remaining carried out by Therefore, interior frames are designed for lower forces which, in turn, results a lighter structure. Stressed modelled using equivalent spring theory. A program which links Sap2000 genetic algorithm was developed that provides best sections result minimum weight Designs...

10.22065/jsce.2017.91588.1261 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2019-06-01
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