Application of evolutionary operation to the minimum cost design of continuous prestressed concrete bridge structure

Rana, Shohel; Islam, Nazrul; Ahsan, Raquib; Ghani, S.N.

doi:10.1016/j.engstruct.2012.07.017

Cited by 21 publications

(10 citation statements)

References 23 publications

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“…However, these methods vary considerably in cost and duration, and the selection of inappropriate methods can lower the quality of the structure, diminish the construction efficiency, and lower the cost-effectiveness of the project [21]. Ensuring the applicability, safety, durability, and cost-effectiveness of bridge structural designs is of utmost importance [22,23]. The most common accident that occurs during bridge construction is bridge collapse, which is frequently the result of inappropriate construction methods, incurs time and monetary losses, and creates the need to repair environmental damage and undertake subsequent reconstruction [6].…”

Section: Introductionmentioning

confidence: 99%

An Interval‐Valued Pythagorean Fuzzy Compromise Approach with Correlation‐Based Closeness Indices for Multiple‐Criteria Decision Analysis of Bridge Construction Methods

Chen

2018

Complexity

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The purpose of this paper is to develop a novel compromise approach using correlation-based closeness indices for addressing multiple-criteria decision analysis (MCDA) problems of bridge construction methods under complex uncertainty based on interval-valued Pythagorean fuzzy (IVPF) sets. The assessment of bridge construction methods requires the consideration of multiple alternatives and conflicting tangible and intangible criteria in intricate and varied circumstances. The concept of IVPF sets is capable of handling imprecise and ambiguous information and managing complex uncertainty in real-world applications. Inspired by useful ideas concerning information energies, correlations, and correlation coefficients, this paper constructs new concepts of correlation-based closeness indices for IVPF characteristics and investigates their desirable properties. These indices can be utilized to achieve anchored judgments in decision-making processes and to reflect a certain balance between connections with positive and negative ideal points of reference. Moreover, these indices can fully consider the amount of information associated with higher degrees of uncertainty and effectively fuse imprecise and ambiguous evaluative ratings to construct a meaningful comparison approach. By using the correlation-based closeness index, this paper establishes effective algorithmic procedures of the proposed IVPF compromise approach for conducting multiple-criteria evaluation tasks within IVPF environments. The proposed methodology is implemented in a practical problem of selecting a suitable bridge construction method to demonstrate its feasibility and applicability. The practicality and effectiveness of the proposed methodology are verified through a comparative analysis with well-known compromise methods and other relevant nonstandard fuzzy models.

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Section: Introductionmentioning

confidence: 99%

An Interval‐Valued Pythagorean Fuzzy Compromise Approach with Correlation‐Based Closeness Indices for Multiple‐Criteria Decision Analysis of Bridge Construction Methods

Chen

2018

Complexity

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“…It can rapidly change its shape and size for negotiating difficult terrain and has the intelligence to move towards a minimum. Figure 7 (Rana et al 2013) shows a 'complex' with four vertices in a two dimensional parameter space (X 1 and X 2 axes). X 1 and X 2 are the two independent design variables.…”

Section: Optimal Design Problemmentioning

confidence: 99%

An Optimized Design of Network Arch Bridge Using Global Optimization Algorithm

Islam

Rana

Ahsan

et al. 2014

Advances in Structural Engineering

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An optimization approach of network arch bridges using a global optimization algorithm EVOP is presented in this paper. The objective is to minimize the cost of superstructure particularly arches and hangers of network arch bridge by optimizing the geometric shape, rise to span ratio, cross section of arch, and the number, arrangement and cross sectional dimensions of hangers. Constraints for design are formulated as per AASHTO, AISC and ACI Specifications. The minimum cost design problem is characterized by having a combination of continuous, discrete, and integer sets of design variables and is subjected to highly nonlinear, implicit and discontinuous constraints. An optimization algorithm, evolutionary operation (EVOP), is used that is capable of locating directly with high probability the global minimum without requiring information on gradient or sub-gradient of the objective function. EVOP is interfaced with finite element analysis software, ANSYS for evaluation of structural response of the bridge to verify the constraints and also to evaluate objective function. Within the range of design constant parameters considered, it is observed that 38% to 40% of total cost can be saved for circular and parabolic arches respectively, if design is optimized. Results also show that parabolic arch with optimum design variables is more economic than the optimized arch bridges with circular arch geometry.

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“…Martinez et al [12] proposed a variant of ant-colony optimization to optimize tall bridge piers. Rana et al [13] presented an evolutionary operation, based on a global optimization algorithm for the minimum cost design of a two-span, continuous, prestressed concrete (PC) I-girder bridge structure. A hybrid simulated annealing algorithm [14] and a memetic algorithm with variable-depth neighborhood search [15] were applied to find the most economical solution for precastprestressed concrete U-beam road bridges.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimization of post-tensioned concrete box-girder road bridges considering cost, CO2 emissions, and safety

García-Segura

Piqueras

2016

Engineering Structures

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This paper presents a multiobjective optimization of post-tensioned concrete road bridges in terms of cost, CO2 emissions, and overall safety factor. A computer tool links the optimization modulus with a set of modules for the finite-element analysis and limit states verification. This is applied for the case study of a three-span continuous post-tensioned box-girder road bridge, located in a coastal region. A multiobjective harmony search is used to automatically search a set of optimum structural solutions regarding the geometry, concrete strength, reinforcing and post-tensioned steel. Diversification strategies are combined with intensification strategies to improve solution quality. Results indicate that cost and CO2 emissions are close to each other for any safety range. A one-euro reduction, involves a 2.34 kg CO2 emissions reduction. Output identifies the best variables to improve safety and the critical limit states. This tool also provides bridge managers with a set of trade-off optimum solutions, which balance their preferences most closely, and meet the requirements previously defined.

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Application of evolutionary operation to the minimum cost design of continuous prestressed concrete bridge structure

Cited by 21 publications

References 23 publications

An Interval‐Valued Pythagorean Fuzzy Compromise Approach with Correlation‐Based Closeness Indices for Multiple‐Criteria Decision Analysis of Bridge Construction Methods

An Interval‐Valued Pythagorean Fuzzy Compromise Approach with Correlation‐Based Closeness Indices for Multiple‐Criteria Decision Analysis of Bridge Construction Methods

An Optimized Design of Network Arch Bridge Using Global Optimization Algorithm

Multiobjective optimization of post-tensioned concrete box-girder road bridges considering cost, CO2 emissions, and safety

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