Computer‐Automated Design of Reinforced Concrete Frameworks

Moharrami, Hamid; Grierson, Donald E.

doi:10.1061/(asce)0733-9445(1993)119:7(2036)

Cited by 39 publications

(15 citation statements)

References 14 publications

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“…Among the first efforts of computer-automated design, Aguilar, Movassaghi and Brewer [6], researchers at the Louisiana State University, in collaboration with the Louisiana Department of Highways, developed a computer program for design and optimization of highway bridges. In another application of structural optimization and automated design, Moharrami and Grierson [7] presented a computerized method (the so-called optimal criteria method), for optimization of two-dimensional reinforced concrete building frameworks. In this method, the cross-section dimensions and longitudinal reinforcement giving the minimum cost of the structure are found.…”

Section: Structural Optimization Of Concrete Slab Frame Bridges Consimentioning

confidence: 99%

Structural Optimization of Concrete Slab Frame Bridges Considering Investment Cost

Yavari¹,

Pacoste-Calmanovici²,

Karoumi³

2016

JCEA

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Abstract:The present study investigates computer-automated design and structural optimization of concrete slab frame bridges considering investment cost based on a complete 3D model. Thus, a computer code with several modules has been developed to produce parametric models of slab frame bridges. Design loads and load combinations are based on the Eurocode design standard and the Swedish design standard for bridges. The necessary reinforcement diagrams to satisfy the ultimate and serviceability limit states, including fatigue checks for the whole bridge, are calculated according to the aforementioned standards. Optimization techniques based on the genetic algorithm and the pattern search method are applied. A case study is presented to highlight the efficiency of the applied optimization algorithms. This methodology has been applied in the design process for the time-effective, material-efficient, and optimal design of concrete slab frame bridges.

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Section: Structural Optimization Of Concrete Slab Frame Bridges Consimentioning

confidence: 99%

Structural Optimization of Concrete Slab Frame Bridges Considering Investment Cost

Yavari¹,

Pacoste-Calmanovici²,

Karoumi³

2016

JCEA

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“…A number of studies have been published on the optimum design of RC structures (Frangopol 1986;Moharrami and Grierson 1993;Sarma and Adeli 1998;Li and Cheng 2001;Chan and Zou 2004;Lagaros and Papadrakakis 2007) taking into account different types of constraints during the design optimization procedure. However, none of them has taken into consideration the behaviour factor q.…”

Section: Problem Definitionmentioning

confidence: 99%

“…One of the earliest studies on this subject is the work by Frangopol (1986) where the general formulation of the deterministic optimization problem was reviewed and a reliability-based optimization approach for the design of both steel and RC framed structures was presented. Moharrami and Grierson (1993) presented a computerbased method for the optimal design of RC buildings, where the width, depth and longitudinal reinforcement of member sections are considered as design variables. A review on the design of concrete structures can be found in the work by Sarma and Adeli (1998), where it was concluded that there is a need to perform further research on cost optimization of realistic three-dimensional structures with hundreds of members, where optimization can result in substantial savings.…”

Section: Introductionmentioning

confidence: 99%

Building design based on energy dissipation: a critical assessment

Mitropoulou

Lagaros

Papadrakakis

2010

Bull Earthquake Eng

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The basic objective of this study is the assessment of the European seismic design codes and in particular of EC2 and EC8 with respect to the recommended behaviour factor q. The assessment is performed on two reinforced concrete multi-storey buildings, having symmetrical and non-symmetrical plan view respectively, which were optimally designed under four different values of the behaviour factor. In the mathematical formulation of the optimization problem the initial construction cost is considered as the objective function to be minimized while the cross sections and steel reinforcement of the beams and the columns constitute the design variables. The provisions of Eurocodes 2 and 8 are imposed as constraints to the optimization problem. Life-cycle cost analysis, in conjunction with structural optimization, is believed to be a reliable procedure for assessing the performance of structures during their life time. The two most important findings that can be deduced are summarized as follows: (1) The proposed Eurocode behaviour factor does not lead to a more economical design with respect to the total life-cycle cost compared to other values of q (q = 1, 2).(2) The differences of the total life-cycle cost values may be substantially greater than those observed for the initial construction cost for four different q (q = 1, 2, 3, 4).

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“…Their cost function includes only the material costs of concrete, steel reinforcement and formwork. Moharrami and Grierson (1993) carried out minimum cost design of RC building frames subjected to vertical and lateral loading, based on the ACI code ("Building" 1989) using the Optimality Criteria approach. The columns had rectangular cross-sections and the beams were considered rectangular, L or T shapes.…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of 2-D Reinforced Concrete Frames Using a Genetic Algorithm

Niaki¹,

Maheri²,

Bagheri³

2016

TOJDAC

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Construction of concrete structures involves at least three different materials: concrete, steel and formwork. A large number of parameters, therefore, have to be dealt with in proportioning a reinforced concrete element, including width, depth, number and diameter of rebar. Consequently, together with experience, trial and adjustment are necessary in the choice of concrete sections. A trial section has to be chosen for each critical location in a structural system. The trial section has to be analyzed to determine if its nominal resisting strength is adequate to carry out the applied factored loads. Since more than one trial is often necessary to arrive at the required section, this process is time consuming. Also, the final design of a practiced designer is different from that of a beginner and it is never known whether the result is an optimum design. The objective of this research is to design optimally reinforced concrete frames that satisfy the limitations and specifications of the American Concrete Institute (ACI) Building Code and Commentary using a Genetic Algorithm (GA). The GA used in this study has an adaptive penalty function. New options are added to the GA, including tournament selection with specified conditions or repairing operator that acts on beams and columns to accelerate convergence of the program. Design results show that the algorithm presented here compares advantageously with classic methods or other GA algorithms used previously for optimum design of concrete frames.

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Computer‐Automated Design of Reinforced Concrete Frameworks

Cited by 39 publications

References 14 publications

Structural Optimization of Concrete Slab Frame Bridges Considering Investment Cost

Structural Optimization of Concrete Slab Frame Bridges Considering Investment Cost

Building design based on energy dissipation: a critical assessment

Optimum Design of 2-D Reinforced Concrete Frames Using a Genetic Algorithm

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