Andrew Deeks

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Substxucturing technique for damage detection using statistical multi-stage Artificial Neural Network

Hong Hao, Norhisham Bakhary, Andrew Deeks, 2008 .

8 – Concluding remarks

John P. Wolf, Andrew Deeks, 2004 .

Adaptive finite element analysis using object oriented techniques

Andrew Deeks, 1995 .

Proceedings of the 1st International Conference on Structural Condition Assessment, Monitoring and Improvement

Hong Hao, Yong Xia, Andrew Deeks, 2005 .

Damage identifcation for slab structure using artificial neural networks

Hong Hao, Norhisham Bakhary, Andrew Deeks, 2005 .

Vibration based damage detection using artificial neural network with consideration of uncertainties

Hong Hao, Norhisham Bakhary, Andrew Deeks, 2007 .

Modelling cohesive crack growth using a two-step finite element-scaled boundary finite element coupled method

Andrew Deeks, Zhenjun Yang, A. Deeks, 2007 .

A method for computing support lift-off

Andrew Deeks, 1993 .

Substructuring Technique for Damage Detection Using Statistical Multi-Stage Artificial Neural Network

Hong Hao, Norhisham Bakhary, Andrew Deeks, 2010 .

Automatic design of portal-framed buildings using a genetic algorithm

Andrew Deeks, Andrew J. Grime, 1995 .

Web-based Assignments in Structural Analysis

Andrew Deeks, 1999 .

Evaluation of the Effectiveness of Strengthening Intervention by CFRP on MRWA Bridge No. 3014

Hong Hao, Yong Xia, Yong Xia, 2007 .

Fuzzy Expert System for Construction Vibration Risk Prediction

Yongbo Yuan, Andrew Deeks, Zhun Zhang, 2011 .

A Frequency-Domain Approach for Transient Dynamic Analysis Using Scaled Boundary Finite Element Method (II): Application to Fracture Problems

Andrew Deeks, Z. J. Yang, H. Hong, 2006 .

An object oriented element system for two-dimensional problem

Andrew Deeks, 1996 .