A5101701533- Structural Health Monitoring Techniques
- Advanced MEMS and NEMS Technologies
- Probabilistic and Robust Engineering Design
- Mechanical and Optical Resonators
- Bladed Disk Vibration Dynamics
- Membrane Separation Technologies
- Adhesion, Friction, and Surface Interactions
- Composite Structure Analysis and Optimization
- Graphene research and applications
- Nanopore and Nanochannel Transport Studies
- Iterative Learning Control Systems
- Advanced Fiber Optic Sensors
- Nonlocal and gradient elasticity in micro/nano structures
- Ultrasonics and Acoustic Wave Propagation
- Seismic Performance and Analysis
- Advanced Surface Polishing Techniques
- Tribology and Lubrication Engineering
- Photonic and Optical Devices
- Vibration Control and Rheological Fluids
- 3D IC and TSV technologies
- Optical measurement and interference techniques
- Carbon Nanotubes in Composites
- Innovative Energy Harvesting Technologies
- Control Systems and Identification
- Aeroelasticity and Vibration Control
Nanyang Technological University
2011-2022
Singapore Polytechnic
2018
Samsung (South Korea)
2005
Abstract This paper presents the first endeavour to exploit a generalized differential quadrature method as an accurate, efficient and simple numerical technique for structural analysis. Firstly, drawbacks existing in of (DQ) are evaluated discussed. Then, improved simpler (GDQ) is introduced overcome drawback simplify procedure determining weighting coefficients. Subsequently, systematically employed solve problems Numerical examples have shown superb accuracy, efficiency, convenience great...
We present a practical computational framework for the coarse-graining of cross-linked epoxies by developing machine-learning technique, which integrates molecular dynamics simulations with artificial neural network (ANN) assisted particle swarm optimization (PSO) algorithm. Key features include two aspects: (1) determining bonded interactions via iterative Boltzmann inversion method to emulate local structures and, (2) optimizing nonbonded interaction potentials through approach reproduce...
We investigate the effect of varying carbon nanotube (CNT) size on desalination performance through slit confinements formed by horizontally aligned CNTs stacked top one another. By increasing CNT size, results obtained from this study indicate a corresponding increase in water flow rate, accompanied slight reduction salt rejection performance. However, due to membrane area with permeability is observed reduce as increases. Nevertheless, comparison nanoporous 2D membranes shows that an...
Summary This article is concerned with the parameter identification of output‐error bilinear‐parameter models colored noises from measurement data. An auxiliary model least squares‐based iterative method developed through overparameterization model. It examines difficulty estimating overparameterized vector, which usually presents a heavy computational burden in process. To overcome this drawback, separation technique introduced and nonlinear reformulated as refined eliminating...
Abstract Order reduction is a computationally efficient method to estimate some lowest eigenvalues and the corresponding eigenvectors of large structural systems by reducing order original model smaller one. But its accuracy limited small range frequencies that depends on selection retained degrees freedom. This paper proposes new iterative (IOR) technique obtain accurately eigensolutions systems. The retains all inertia terms associated with removed hence leads reduced mass matrix being in...
We present and compare the different designs of micromachined silicon condenser microphones. The aim is to develop microphones with high sensitivity low fabrication cost. Slotted corrugated diaphragms have been designed fabricated in order increase mechanical At same time, we developed process for stress or stress-free multilayers polysilicon used as microphone diaphragms. To chip density on one wafer avoid sticking problem during wet release process, a new design using deep reactive ion...