| Author | Darmawan, Prabudi |
| Call Number | AIT Thesis no.GT-89-08 |
| Subject(s) | Subsidences (Earth movements)--Mathematical models
|
| Note | A thesis submitted in partial fulfillment of the requirements
for the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. GT-89-08 |
| Abstract | In predicting the future subsidence of an aquifer-aquitard
system based on t he consolidation theory , one at least needs to
know the following information: ( 1 ) soil parameters such as
compression indexes, and coefficient of consolidation of
compressive layers (aquitard ), (2) present distribution of
excess pore water pressure in these layers, and (3) the future
change of head distributions of the aquifers. However , almost
all the time the available data are not sufficient to
accurately estimate all the informations mentioned above. More
specifically , number of soil tests are not enough to represent
all area and they includes the measurement errors and the scale
effects (for (l )) ; head observations are limited to the aquifers
and the pore pressure distributions in the aquitards are rarely
given (for ( 2 )) ; finally, the future head distributions are
difficult to predict, and also they are often function of the
countermeasures taken (for(3 )) . A better solution to problems
(1 ) and ( 2 ) is provided . An inverse analysis procedure , which
is to estimate soil parameters as well as the initial excess
pore water pressure distributions from the past land subsidence
observations , is developed and applied. Non-linear regression
analysis plays main role here. It is found that length of
observation based on consolidation response time is important
in this inverse analysis. As a result , not only estimation
values , but also estimation errors are quantified in the
process. Furthermore , a methodology is developed to incorporate
this estimation uncertainty in the process of future prediction
of the subsidence so that not only mean of the subsidence but
also uncertainty involved in it is quantified. This is done by
applying First Order Second Moment method. The land subsidence
in Nobi plain (Japan ) and Bangkok are taken as case studies. |
| Year | 1990 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. GT-89-08 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Geotechnical and Transportation Engineering (GT) |
| Chairperson(s) | Honjo, Yusuke; |
| Examination Committee(s) | Balasubramaniam, A.S. ;Bergado, Dennes T. ; |
| Scholarship Donor(s) | The Government of Japan; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1990 |