Computational mechanics, Finite element technology, Structural optimization, Design automation.
Automation in Structural Design
Structural design can be classified into several design tasks. These tasks need different degrees of human intuition. Those design tasks that require little human intuition and can be systematically written as algorithms may be easily delegated to computers. In contrast, other design tasks that require a lot of human intuition and do not have clear algorithms cannot be done without designers’ experiences. Although it may seem that some of the heuristic design tasks are not difficult and can be handled quite easily even by engineers, in practice, these easy tasks unfortunately prevent the whole design process from being completely automated. In this research area, artificial intelligence (AI) and other advanced computing technologies will be used to remove these hindrances, created by heuristic design tasks, in order that complete structural design automation can be developed.
Advanced Finite Element Analysis
It can be safely said that the finite element method (FEM) is currently the best method for solving mechanical problems. The method has been continuously developed and its progress is quite noticeable. Nevertheless, the development of FEM has been mainly concentrated on the theoretical part of the method. It is now time to integrate new computing technologies with FEM in order that advanced finite element analysis can be performed with ease. In this research area, advanced computing technologies, such as new programming technologies, artificial intelligence, information technologies, and database technologies, will be used to improve the performance and usability of FEM.
|Doctoral Theses Supervised|
|2016:||Kasem Theerakittayakorn. Investigation of Effective Elastic Properties of Frame-like Periodic Cellular Solids by Strain-energy-based Homogenization.|
|2010:||Anan Nimtawat. Layout Design of Beam-slab Floors Using a Genetic Algorithm.|
|2009:||Ekachai Chaichanasiri. A Study on Mechanical Behavior of Bone Surrounding a Dental Implant by Finite Element Contact Analysis.|
|2008:||Preecha Soparat. Analysis of Crack Growth in Concrete by the Element-free Galerkin Method.
|Master Theses Supervised|
|2016:||Chantrea Lean. Truss Optimization Using Symbolic Finite Element Solutions.|
|2015:||Pisith Sam. Symbolic-Numerical Object-Oriented Finite Element Programming.|
|2015:||Wasuwat Petprakob. Beam-Slap Floor Optimization Using Genetic and Particle Swarm Optimization Algorithms.|
|2010:||Nattapon Chantarapanich. Determination of the Correction Angle for the Treatment of Early State Knee Osteoarthritis by the High Tibial Osteotomy.|
|2009:||Kanchana Suranga Kahatadeniya. Determination of the Critical Failure Surface for Slope Stability Analysis Using Ant Colony Optimization.|
|2005:||Vu Long Nhu. A 2D Field-consistent Beam Element for Large Displacement Analysis Using the Total Lagrangian Formulation.|
|2004:||Nont Nimityongskul. An Ant Colony Optimization Algorithm for Sizing Optimization of Structures.|
|2003:||Chantima Somprasert. An Object-Oriented Model for Combined Implementation of the Finite Element and Meshless Methods.|
|2001:||Yupaporn Thanyakriengkrai. Neural Networks for Structural Design Optimization Using Genetic Algorithms.|
|2001:||Vasan Thitawat. Stability and Bifurcation Analysis of Crack Patterns in Quasi-Brittle Materials.|
|2000:||Preecha Soparat. A Mixed Finite Element Formulation for Analysis of Cracking Localization in Quasi-Brittle Materials.|
|2000:||Konlakarn Meesomklin. A Novel Penalty Scheme in Genetic Algorithms for Structural Design Optimization.|
|1998:||Aruz Petcherdchoo. Analysis of Cracking Localization in Quasi-Brittle Materials Using the Smeared Crack Approach.|
Book Chapter (1 chapter)
International Journals (22 papers)
National Journals (11 papers)
International Conferences (42 papers)
National Conferences (14 papers)