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Addy, M, Adinyira, E and Ayarkwa, J (2018) Antecedents of building information modelling adoption among quantity surveyors in Ghana. Journal of Engineering, Design and Technology, 16(02), 313–26.

Ayadi, A, Nasraoui, H, Driss, Z, Bouabidi, A and Abid, M S (2018) Unsteady state of a solar chimney power plant accoupled with a turbine: case study. Journal of Engineering, Design and Technology, 16(02), 244–55.

Khorshid, E, Alfadli, A and Falah, A (2018) Application of constraint infeasibility detection methods in engineering design problems. Journal of Engineering, Design and Technology, 16(02), 285–312.

  • Type: Journal Article
  • Keywords: Optimization algorithms; Mechanical design; Computational decision support; Inconsistency detection; Constraint theory; Global optimization; Design integration;
  • ISBN/ISSN: 1726-0531
  • URL: https://doi.org/10.1108/JEDT-03-2017-0026
  • Abstract:
    The purpose of this paper is to present numerical experimentation of three constraint detection methods to explore their main features and drawbacks in infeasibility detection during the design process. Design/methodology/approach Three detection methods (deletion filter, additive method and elasticity method) are used to find the minimum intractable subsystem of constraints in conflict. These methods are tested with four enhanced NLP solvers (sequential quadratic program, multi-start sequential quadratic programing, global optimization solver and genetic algorithm method). Findings The additive filtering method with both the multistart sequential quadratic programming and the genetic algorithm solvers is the most efficient method in terms of computation time and accuracy of detecting infeasibility. Meanwhile, the elasticity method has the worst performance. Research limitations/implications The research has been carried out for only inequality constraints and continuous design variables. This research work could be extended to develop computer-aided graphical user interface with the capability of including equality constraints and discrete variables. Practical implications These proposed methods have great potential for finding and guiding the designer to detect the infeasibility for ill-posed complex design problems. Originality/value The application of the proposed infeasibility detection methods with their four enhanced solvers on several mechanical design problems reduces the number of constraints to be checked from full set to a much smaller subset.

Oke, A E and Aghimien, D O (2018) Drivers of value management in the Nigerian construction industry. Journal of Engineering, Design and Technology, 16(02), 270–84.

Owusu-Manu, D, John Edwards, D, Pärn, E A, Antwi-Afari, M F and Aigbavboa, C (2018) The knowledge enablers of knowledge transfer: a study in the construction industries in Ghana. Journal of Engineering, Design and Technology, 16(02), 194–210.

Reda, R, Saad, M, Ahmed, M Z and Abd-Elkader, H (2018) Monitoring joint quality: Taguchi approach and structure investigation. Journal of Engineering, Design and Technology, 16(02), 211–32.

Shafabakhsh, G, Kashi, E and Tahani, M (2018) Analysis of runway pavement response under aircraft moving load by FEM. Journal of Engineering, Design and Technology, 16(02), 233–43.

Wang, L (2018) The fuzzy in evaluation of concrete structure engineering. Journal of Engineering, Design and Technology, 16(02), 327–38.

Zhou, B, Xue, Y, Li, M, Li, Z, Zhang, X and Tao, Y (2018) Longitudinal jet ventilation calculation and application of long highway tunnel. Journal of Engineering, Design and Technology, 16(02), 256–69.