Predicting peak pressures from computed CFD data and artificial neural networks algorithm

References

• Abdi , H. , Valentin , D. , Edelman , B. and O'Toole , A. 1996 . “ A Widrow‐Hoff Learning‐rule for a Generalization of the Linear Auto‐Associator,” . Journal of Mathematical Psychology , 40 ( 2 ) : 175 – 182 .
   Google Scholar
• Banks , D. , Meroney , R. N. , Sarkar , P. P. , Zhao , Z. and Wu , F. 2000 . “Flow Visualization of Conical Vortices on Flat Roofs with Simultaneous Surface Pressure Measurement,” . Journal of Wind Engineering & Industrial Aerodynamics , 84 ( 1 ) : 1097 – 1104 .
   Google Scholar
• Chang , C. H. and Meroney , R. N. 2001a . “Numerical and Physical Modeling of Bluff Body Flow and Dispersion in Urban Street Canyons,” . Journal of Wind Engineering and Industrial Aerodynamics , 89 ( 14–18 ) : 1325 – 1334 .
   Google Scholar
• Chang , C. H. and Meroney , R. N. 2001b . “The Effect of Surroundings with Different Separation Distances on Surface Pressures on Low‐Rise Buildings,” . Journal of Wind Engineering and Industrial Aerodynamics , 91 ( 8 ) : 1039 – 1050 .
   Google Scholar
• Chang , C. H. and Meroney , R. N. 2002 . “Concentration Distributions from a Point Source within Urban Street Canyons: Wind tunnel and Computational Data,” . Journal of Wind Engineering and Industrial Aerodynamics , 91 : 1141 – 1154 .
   Google Scholar
• Cheatham , S. A. , Cybyk , B. Z. and Boris , J. P. 1998 . “Simulation of Flow and Dispersion around a Surface‐mounted Cube,” , Washington, DC, , USA : Naval Research Laboratory .
   Google Scholar
• Chen , S. , Billing , S. A. and Grant , P. M. 1990 . “Non‐linear System Identification Using Neural Networks” . International Journal of Control , 51 ( 6 ) : 1191 – 1214 .
   Web of Science ®Google Scholar
• Chen , C. H. 2003 . “Determination of Futter Derivatives via a Neural Network Approach,” . Journal of Sound and Vibration , 263 ( 4 ) : 797 – 813 .
   Google Scholar
• Freeman , J. A. and Skapura , D. M. 1992 . Neural Networks: Algorithms, Applications, and Programming Techniques , Boston, MA, , USA : Addison‐Wesley Inc. .
   Google Scholar
• French , M. N. , Krajewski , W. F. and Cuykendall , R. R. 1992 . “ Rainfall Forecasting in Space and Time Using a Neural Network,” . Journal of Hydrology , 137 ( 1–4 ) : 1 – 31 .
   Web of Science ®Google Scholar
• Fukuda , T. and Shibata , T. 1992 . “Theory and Applications of Neural Networks for Industrial Control Systems” . IEEE Transactions on Industrial Electronics , 39 ( 6 ) : 472 – 489 .
   Web of Science ®Google Scholar
• Haykin , S. 1994 . Neural Network: A Comprehensive Foundation , NY, , USA : Macmillan College Publishing Company Inc. .
   Google Scholar
• He , J. and Song , C. C. S. 1998 . “A Numerical Study of Wind Flow Around the TTU Building and the Roof Corner Vortex,” . Journal of Wind Engineering and Industrial Aerodynamics , 67–68 : 547 – 558 .
   Google Scholar
• Kiefer , H. and Plate , E. J. 1998 . “Modeling of Mean and Fluctuating Wind Loads in Built‐up Areas,” . Journal of Wind Engineering and Industrial Aerodynamics , 74–76 : 619 – 629 .
   Google Scholar
• Kohen , T. 1988 . An introduction to computing with neural nets . Neural Networks , 1 ( 1 ) : 3 – 16 .
   Google Scholar
• Lee , S. 1997 . “Unsteady Aerodynamic Force Prediction on a Square Cylinder using ke Turbulence Models,” . Journal of Wind Engineering and Industrial Aerodynamics , 67&68 : 79 – 90 .
   Google Scholar
• Malkar , P. and Bojnar , M. 1994 . “Short‐term Air Pollution Prediction on The Basis of Artificial Neural Networks,” . International Conference on Air Pollution‐Proceedings , 1 : 545 – 552 .
   Google Scholar
• Maruyama , T. and Maruyama , Y. “Large Eddy Simulations Around a Rectangular Prism using Artificially Generated Turbulent Flows,” . Abstracts of papers at 3rd Int. Symposium on Computational Wind Engineering . pp. 11 – 14 . UK : University of Birmingham .
   Google Scholar
• Meroney , R. N. 2000 . “ Comparison of Numerical and Wind Tunnel Simulation of Wind Loads on Smooth, Rough and Dual Domes Immersed in a Boundary Layer,” . In Proceedings of CWE 2000
   Google Scholar
• Naveen Kwatra , P. N. , Godbole and Krishna , Prem . 2002 . “Application of Artificial Neural Network for Determination of Wind Induced Pressures on Gable Roof,” . Wind & Structures , 5 ( 1 ) : 1 – 14 .
   Google Scholar
• Paterson , D. A. 1993 . “Predicting r.m.s. Pressures from Computed Velocity and Mean Pressures,” . Journal of Wind Engineering and Industrial Aerodynamics , 46&47 : 431 – 437 .
   Google Scholar
• Plate , E. “Wind Loads and Diffusion in Urban Areas,” . Volume of Abstracts for 4th Int. Colloquium on Bluff Aerodynamics & Applications . Vol. 4 , September 11–14 . pp. 3 – 7 . Germany : Ruhr‐Universitat Bochum . 2000
   Google Scholar
• Potukuchi , S. and Wexler , A. 1997 . “Predicting Vapor Pressures Using Neural Networks,” . Atmospheric Environment , 31 ( 5 ) : 741 – 753 .
   Google Scholar
• Rehm , R. G. , McGrattan , K. B. , Baum , H. R. and Simiu , E. “An Efficient Large Eddy Simulation Algorithm for Computational Wind Engineering: Application to Surface Pressure Computations on a Single Building, NISTIR 6371,” , Gaithersburg, MD, , USA : Building and Fire Research Laboratory, NIST . Website: http://fire.nist.gov.
   Google Scholar
• Robert , H. N. 1989 . Neurocomputing , Boston, MA, , USA : Addison‐Wesley Inc. .
   Google Scholar
• Selvam , R. P. 1997 . “Computation of Pressures on Texas Tech University Building using Large Eddy Simulation,” . Journal of Wind Engineering and Industrial Aerodynamics , 67&68 : 647 – 657 .
   Google Scholar
• Song , X. and Hopke , P. K. 1996 . “Solving the Chemical Mass Balance Problem Using an Artificial Neural Network,” . Environmental Science and Technology , 30 ( 2 ) : 531 – 535 .
   Google Scholar
• SPSS Incorporation . 1997 . Neural Connection user's guide , Chicago, IL, , USA : SPSS Inc. and Recognition Systems Inc. .
   Google Scholar
• Surry , D. and Lin , J. X. 1993 . “The Effect of Surroundings and Roof Corner Geometric Modifications on Roof Pressures on Low‐Rise Buildings,” , Ontario, , Canada : University of Western Ontario .
   Google Scholar
• Trejo , L.A. and Carlos , S. 1995 . Improved backpropagation: epsilon‐back‐propagation . From Natural to Artificial Neural Computation , : 427 – 432 .
   Google Scholar
• Weymaere , Nico and Jean‐Pierre , M. 1991 . “A Fast and Robust Learning Algorithm for Feed‐Forward Neural Networks,” . Neural Networks , 4 ( 3 ) : 361 – 370 .
   Web of Science ®Google Scholar
• Yi‐Cheng , Y. 2002 . Neural Networks Modeling: Application and Implementation , Taipei, , Taiwan : Scholars‐Book Inc. .
   Google Scholar
• Zeng , P. 1998 . “Neural Computing in Mechanics,” . Applied Mechanics Review , 51 ( 2 ) : 173 – 197 .
   Google Scholar
• Corresponding author. (Tel: 886–2–26215656 ext. 2670; Fax: 886–2–26219747; Email: [email protected])
   Google Scholar