000021985 001__ 21985
000021985 005__ 20170622131316.0
000021985 04107 $$aeng
000021985 046__ $$k2017-06-15
000021985 100__ $$aRajbhandari, Aadhish Man
000021985 24500 $$aTHE USE OF ARTIFICIAL NEURAL NETWORKS (ANN) FOR THE PRELIMINARY DESIGN OF HIGH-RISE BUILDINGS

000021985 24630 $$n6.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000021985 260__ $$bNational Technical University of Athens, 2017
000021985 506__ $$arestricted
000021985 520__ $$2eng$$aThe need for high-rise buildings is increasing in order to meet the challenges posed by rapid urbanization and the exponential growth in population. With recent advancements in computing technologies, innovative materials and new structural systems, the need of prior knowledge about proportioning the geometry and configuration of structural members is also increasing. A relatively quicker and reliable estimation of approximate sizes of members can greatly facilitate the preliminary design and feasibility of the project. This study uses an Artificial Neural Network (ANN) based approach to directly determine some key design parameters based on experience gained from previously designed buildings. It uses a heuristic tool using ANN that can provide fast and reliable results based on two algorithms (i.e. Multilayer Perceptron with Back Propagation using Levenberg-Marquardt algorithm MLP-BP, and PCA-Sparse-Extreme Learning Machine with online Sequential learning). The ANN models are trained to determine structural design indicators from architectural parameters. The proposed approach can not only provide means for quick estimation of design output, but can also for crosschecking of code based & performance based design very quickly. The objective is to provide means of assisting the design team and clients to make key design decisions based on cumulative experience rather than relying on judgment of individual designers. The approach is demonstrated through the sample networks trained on various case study high-rise buildings for which the required architectural and structural design results have been generated through detailed design.

000021985 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021985 653__ $$aANN, preliminary design, MLP-BP, ELM, OS-ELM, high-rise buildings

000021985 7112_ $$aCOMPDYN 2017 - 6th International Thematic Conference$$cRhodes Island (GR)$$d2017-06-15 / 2017-06-17$$gCOMPDYN2017
000021985 720__ $$aRajbhandari, Aadhish Man$$iNajam, Fawad$$iAnwar, Naveed
000021985 8560_ $$ffischerc@itam.cas.cz
000021985 8564_ $$s1195371$$uhttps://invenio.itam.cas.cz/record/21985/files/18560.pdf$$yOriginal version of the author's contribution as presented on CD, section: [RS12] Numerical simulation methods for dynamic problems
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000021985 962__ $$r21500
000021985 980__ $$aPAPER