Predicting Bridge Pier Scour Depth Using LTS Regression.

Yahaya, Ahmad Shukri and Ab Ghani, Aminuddin and Abdul Wahab, Aeizaal Azman Predicting Bridge Pier Scour Depth Using LTS Regression. Working Paper. Universiti Sains Malaysia.

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    In this paper, we discuss seven equations that have been suggested by various authors to predict scour depth. The seven equations are (1) Inglis-Poona scour equation, (2) Laursen-Tach curve (3) Railway Practice after Lacey and Inglis (4) Mushtaq Ahmad's equation (5) Blench's equation and (6) Aminuddin and Nalluri 's equation. Almost all observed data must consist ofone or more extreme observations which are called outliers. In the presence ofoutliers ordinmy least squares (OLS) method used in multiple linear regression are not appropriate. Thus we use the least trimmed squares (LTS) method to obtain the modelfor predicting pier scour depth. The result obtainedfrom the analysis show that Aminuddin and Nalluri 's equation produced the best model.

    Item Type: Monograph (Working Paper)
    Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General)
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Awam (School of Civil Engineering)
    Depositing User: ARKM Al Rashid Automasi
    Date Deposited: 14 Apr 2009 21:52
    Last Modified: 13 Jul 2013 12:04

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