Saeed Kia
PhD in Construction Engineering and Management Construction Engineering and Management Reservoir Engineering and Simulation Methods Structural Behavior of Reinforced Concrete Water Systems and Optimization Construction Engineering and Safety Dam Engineering and Safety Topology Optimization in Engineering Engineering Applied Research Topology optimization Civil and Geotechnical Engineering Research Civil and Structural Engineering Research Structural Engineering and Materials Analysis Particle swarm optimization Shape optimization Multi-swarm optimization Optimization algorithm Artificial bee colony algorithm Simulation-based optimization Geodetic Measurements and Engineering Structures Construction Management and Sustainability Building and Construction Civil and Structural Engineering General Engineering Mechanical Engineering Ocean Engineering

Bio

Saeed Kia is a civil engineer and researcher affiliated with the University of Sistan and Baluchestan (USB) in Iran. He holds a PhD in Civil Engineering, along with M.Sc. degrees in Construction Engineering and Management and Structural Engineering, all from Amirkabir University of Technology (Tehran Polytechnic). His research focuses on structural optimization, particularly the durability-based design of reinforced concrete reservoirs using swarm intelligence algorithms such as the Artificial Bee Colony algorithm. With 4 publications and 7 citations, his work has an h-index of 2 and an i10-index of 0. He is also recognized as a fellow in his field.

Educational Journey

Amirkabir University of Technology

PhD in Civil Engineering, M.Sc. in Construction Engineering and Management, M.Sc. in Structural Engineering (Civil Engineering) • PhD in Construction Engineering and Management

Experience

0 - 0

Research

Durability-Based Optimization of Reinforced Concrete Reservoirs Using Artificial Bee Colony Algorithm

Article August 28, 2012

Optimization techniques may be effective in finding best modeling and shape in reinforced concrete reservoirs to improve their durability, mechanical behavior, particularly avoiding or reducing the bending moments in these structures. RCR are one of the major structures applied for reserving fluids to be used in the networks of drinking water. Usually, these structures have fixed shapes which designed and calculated based on input discharge,conditions of structure topology and place geotechnical with various combinations of static and dynamic loads. In this research, first, the elements of reservoir walls are typed according to the performed analysis; then the range of membrane thickness and the minimum and maximum cross section of consumed bar are determined on the maximum stress. In next phase, based on reservoir analysis and using the algorithm of PARIS connector, the related information are combined with the code for PSO algorithm, an algorithm for swarming search, to determine the optimum thickness of cross sections for reservoir membrane elements and the optimum cross section of consumed bars. Based on very complex mathematical linear models for correct embedding and angles related to a chain of peripheral strengthening membranes, which optimize the structure vibrational, a mutual relation is selected between the modeling software and code for particle swarm optimization algorithm.Finally, the comparative weight of concrete reservoir optimized by peripheral strengthening membrane is analyzed by common methods. This analysis shows 19% decrease for bar weight, 20% decrease for concrete weight and minimum 13% saving for construction costs according to the items of checklist for a concrete reservoir at 10,000m3.