04331nas a2200433 a 4500 20260819085924.0 220210 2021 th uu m rtt 0| a1eng .b12379396 AIT Thesis no.ST-21-09 Sapkota, Binod Using data analytics approach to estimate the efficiency of the structural design of tall buildings Pathum Thani, Thailand : Asian Institute of Technology, 2021 146 leaves : ill. Thesis ; no. ST-21-09 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Structural Engineering, School of Engineering and Technology Thesis (M. Eng.) - Asian Institute of Technology, 2021 The typical structural design process for tall buildings is iterative and hence time and resource-consuming. The design process is focused mainly on safety and serviceability but other important aspects such as economy, sustainability, etc are ignored. Moreover, multiple design solutions are possible for the same design problem but the typical design procedure has no straightforward way to select the best among them. The selection relies on subjective judgment or expert{u2019}s opinion which may not always yield the best solution due to biases. These drawbacks can be rectified by using the efficiency evaluation framework (EEF) proposed in this research. The proposed EEF consists of three main aspects, evaluation objective, efficiency parameters, and evaluation approach. Benchmarking method, Data Envelopment Analysis (DEA) is used as an evaluation approach to evaluate efficiency based on inputs and outputs. The implementation strategy for the proposed EEF is formulated based on its use in simplified structures. It is found that, for a system with a large number of parameters, the PCA-DEA model, DEA coupled with Principal Component Analysis (PCA), is suitable as an evaluation approach. In this study, EEF is implemented in cantilevers, frames and tall buildings to demonstrate its use in the selection of the best system among many alternatives based on efficiency score. The EEF yields a basic and super efficiency score which represent global performance measures based on multiple criteria, thus useful for decision making that minimizes subjective judgment. Also, peer units, peer weight, and partial factors obtained from EEF can be used for applying systematic improvements during the structural design process. Thus, EEF significantly reduce iteration and ensure best solution through multicriteria decision making and systematically guided improvement process. The typical structural design procedure is enhanced with this framework using data from previously designed buildings thus modified design procedure can be called a {u2018}Data driven structural design{u2019} process. However, the proposed framework does not intend to replace the experience and knowledge of experts. This will be considered as a complementary tool for decision-making based on data. Tall buildings Design and construction Data envelopment analysis Computer programs Structural design Data processing. Pennung Warnitchai, Chairperson Anwar, Naveed, Co-Chairperson Punchet Thammarak, Examination Committee Thanakorn Pheeraphan, Examination Committee Asian Institute of Technology Fellowship, Scholarship Donor Computer and Structures Inc. (CSI), USA, Scholarship Donor Asian Institute of Technology. Thesis ; no. ST-21-09 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B15696 .b12379396 mnait m 240419 0 220210 m a m 0 mnarc mnarc 67 40 Barcode : - CREATED : 2022-10-02 RECORD # : i13365058 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30020220004504 CREATED : 2023-12-01 RECORD # : i13424932 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 125875 125875 0 0 0 0 MAIN MAIN mnarc 2026-08-19 0 AIT Thesis no.ST-21-09 2026-08-19 08:59:24 2026-08-19 67 0 0 0 0 MAIN MAIN mnarc 2026-08-19 0 AIT Thesis no.ST-21-09 30020220004504 2026-08-19 08:59:24 1 2026-08-19 40