A Model to Determine the Share Amount of Effective Factors On Contractual Claims of Contractors Using Radial Basis Function

Authors

Faculty of Civil Engineering, University of Semnan, Semnan, Iran

Abstract

In the present paper, results of experimental and numerical investigations on the stress concentration factor (SCF) distribution in internally ring-stiffened tubular KT-joints of offshore structures are presented. In this research program, experimental study was followed by a set of parametric stress analyses for 118 steel ring-stiffened KT-joints subjected to axial loads. The analysis results were used to present the general remarks on the effect of geometrical parameters on the SCF distribution along the weld toe, and to establish a new set of SCF parametric equations.

Keywords


Acharya N, Lee Y, Im H, “Conflicting factors in construction projects: Korean perspective Engineering”, construction and architectural management, 2006, 13 (6), 543-566.
Arditi D, Oksay FE, Tokdemir OB, “Predicting the outcome of construction litigation using neural networks”, Computer‐Aided Civil and Infrastructure Engineering, 1998, 13, 75-81. S.P., & Judge, T. 2005, Organizational Behavior. New Jersey: Prentice Hall.
Azeem H, “Developing a Neural Networks Model for Supporting Contractors in Bidding Decision in Egypt”, M.Sc. Thesis presented to the Faculty of Engineering, Zagazig University, 2008.
Bakhary A, Adnan H, Ibrahim A, “A Study of Construction Claim Management problems in Malaysia”, Procedia Economics and Finance, 2015, 23, 63-70.
Bayram S, Ocal M, Laptali E, Atis O, “Comparison of Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) for Construction Cost Estimation: The case of Turkey”, Journal of Civil Engineering and Management, 2015, 22 (4), 480-490.
Bunni N, “Recent Developments in Dispute Resolution under the FIDIC”, In first international conference on engineering arbitration, Bahrain, 2000.
Carmicheal DG, Disputes and International Project. Liaise: A.A. Balkema Publisher, 2002.
Chaphalkar N, Lyer K, Patil P, “Prediction of outcome of Construction Dispute Claims Using Multilayer Perceptron Neural Network Model”, International Journal of Project Management, 2015, 33, 1827-1835.
Cheung SO, Au-Yeung RF, Wong VWK, “A CBR based dispute resolution process selection system”, International Journal Architecture, Engineering and Construction, 2004, 2 (2), 70-79.
Cheung SO, Tam CM, Harris FC, “Project dispute resolution satisfaction classification through neural network”, Journal of Management in Engineering, 2000, 16 (1), 70-79.
Cheung SO, Yiu KT, “A study of construction mediator tactics-Part I: Taxonomies of dispute sources”, mediator tactics and mediation outcomes. Building and environment, 2007, 42 (2), 752-761.
Chu KW, “Application of a PSO-based neural network in analysis of outcomes of construction claims”, Automation in Construction, 2007, 16, 642-646.
Dikmen I, Birgonul M, “Neural Network Model to Support International Market Entry Decisions”, Journal Construction Engineering and Management, 2004, 130, 59-66.
Fenn P, Lowe D, Speck C, “Conflict and dispute in construction”, Contract Management and Economics, 1997, 15, 513-518.
Gajria K, “GT Gajria's Law Relating to Building and Engineering Contracts in India”, New Delhi: LexisNexis Butter worths, 2000.
Ghorbani A, “Study of the major causes and origins of the claims of contractors”, Ms Thesis, Department of Civil and Environmental Engineering. Tehran: Amir Kabir University, 2005.
Hall JM, “Ineffective communication: Common Causes of Construction Disputes”, Alliance’s Advisory Council Legal Notes, 2002, 13 (2).
Hagan MT, Demuth HB, Beale MH, “Neural Network Design”, Boston: PWS Publishing, 1996.
Harmon KMJ, “Conflicts between Owner and Contractors: Proposed Intervention Process”, Journal of Management in Engineering, 2003, 19 (3), 121-125.
Hasheminasab S, Mortaheb M, Ahmadian F, “Causes of common claims in Oil, Gas and petrochemical projects in Iran”, KSCE Journal of Civil Engineering, 2014, 18, 1270-1278.
Haykin S, “Neural Networks: A Comprehensive Foundation (2nd ed.)”, New Jersey: Prentice-Hall, Inc, 1999.
Hosny OA, Elbarkouky MG, Elhakeem A, “Construction Claims Prediction and Decision Awareness Framework using Artificial Neural Networks and Backward optimization”, Journal of Construction Engineering and Management Project, 2015, 5, 11-19.
Jaffar N, Abdol Tharim A, shuib M, “Factors of conflict in Construction Industry: A Literature Review”, the 2nd International Building Control Conference. Procedia Engineering, 2011, 20, 193-202.
Kim GH, Yoon JE, An SH, Cho HH, Kang KI, “Neural Network model incorporating a genetic algorithm in estimating construction costs”, Building and Environment, 2004, 39, 1333-1340.
Kohan G, “Anti Tension in Human and Management Relations. Tehran: Ettelaat Press, 1999.
Levin P, “Construction Contract Claims, Changes and Dispute Resolution”, Boston: American Society of Civil Engineers (ASCE) Press, 1998.
Lin JT, Bhattacharyya D, Kecman V, “Multiple Regression and Neural Networks Analyses in Composites Machining”, Composites Science and Technology, 2003, 63, 539-548. DOI: 10.1016/S0266-3538(02)00232-4.
MATLAB, Version 7.9.0. The Math Works Inc., Massachusetts. Available: http://www.mathworks.com
Mehani M, Grigg N, “Causes of Road and Bridge Construction Claims: Analysis of Colorado Department of Transportation Projects”, Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 2014, 7 (2).
Moura H, Teixeira JC, “Types of Construction Claims: A portuguese Survey”, Proceeding of the XV Annual Conference of ARCOM, UK, 2007.
Oksay FE, “Predicting the outcome of construction claims using neural networks”, MS Thesis. Illinois Institute of Technology, Department of Civil Engineering, Chicago, 1995.
Patil BS, “Building and Engineering Contracts”, Pune: Mrs. S.B. Publication, 2005.
Pinnell S, Partnering and the Management of Construction Disputes”, Dispute Resolution Journal, 1995, 54, 16-22.
Semsar D, “Swot Analysis in Contracts”, MS thesis. Tehran: Industrial Management organization, 1996.
Shin KC, “Identification of Critical Disputes Characteristic (CDCs) during Construction Project operations”, Georgia Institute of Technology, 2000.
Shin K, Molenaar K, “Prediction of Construction Disputes in Change Issues”, Construction Congress VI, 2000, 534-542.
Thompson RM, “Efforts to Manage Disputes in the Construction Industry: A Comparison of the New Engineering Contract and the Dispute Review Board (Doctoral dissertation”, Virginia Polytechnic Institute and State University), 1998.