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2007 Graduate Catalog and 2006 Annual R & D Report - Sirindhorn ...

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<strong>2007</strong> <strong>Graduate</strong> <strong>Catalog</strong> <strong>and</strong> <strong>2006</strong> <strong>Annual</strong> R & D <strong>Report</strong><br />

<strong>Sirindhorn</strong> International Institute of Technology (SIIT)<br />

School of Civil Engineering <strong>and</strong> Technology<br />

Faculty Members <strong>and</strong> Research Interests, <strong>2007</strong><br />

Dr. Amorn Pimanmas<br />

Associate Professor<br />

B.Eng. in Civil Engineering, Chulalongkorn University, Thail<strong>and</strong><br />

M.Eng. & Ph.D. in Civil Engineering, University of Tokyo, Japan<br />

Areas of Specialization: Behavior, analysis <strong>and</strong> evaluation of damaged reinforced concrete members <strong>and</strong><br />

structures; Nonlinear finite element analysis of reinforced concrete (RC) mechanics; Maintenance, repair <strong>and</strong><br />

inspection of RC buildings.<br />

Research Interests:<br />

Strengthening of Reinforced Concrete Members<br />

by Fiber Reinforced Composite<br />

Many existing reinforced concrete structures need<br />

strengthening to upgrade the load bearing capacity.<br />

Recently, fiber reinforced composite (plate <strong>and</strong> sheet)<br />

has been increasingly used to elevate the flexural<br />

capacity of the member. However, because of high<br />

stress concentration near the plate ends, peel-off<br />

failure takes place before fiber rupture. This reduces<br />

the efficient usage of fiber reinforced material. The<br />

research aims to prevent anchorage failure. A<br />

numerical analysis will be attempted to predict the<br />

anchorage failure load.<br />

Evaluation of Damaged Reinforced Concrete<br />

Members<br />

This research aims to evaluate the structural behavior<br />

of reinforced concrete members damaged by precracks.<br />

This is a necessary step towards the<br />

evaluation of the whole structure. Experimental<br />

programs will be arranged to study the behavior of<br />

pre-cracked reinforced concrete members. Here, we<br />

classify the target members into 2 cases; that is, RC<br />

members governed by concrete compression failure<br />

(deep beams, beams with transverse bars) <strong>and</strong> RC<br />

members governed by concrete tension failure (lightly<br />

reinforced beams, beams with no transverse bars).<br />

The aim is to formulate a universal theory that<br />

explains both the compression <strong>and</strong> tension behavior<br />

of pre-cracked RC elements <strong>and</strong> members.<br />

Dr. Krishna Murari Neaupane<br />

Associate Professor<br />

B.Eng. (First Class, First) Dept. of Mining & Geological Engineering, The University of Calcutta, India<br />

M.Eng. in Geotechnical Engineering Program, Asian Institute of Technology (AIT), Thail<strong>and</strong><br />

D.Eng. in Geotechnical Engineering, Saitama University, Japan<br />

Areas of Specialization: Numerical methods in geotechnical engineering; Mass transfer through porous media<br />

<strong>and</strong> its application to geoenvironmental problems; Underground space development <strong>and</strong> tunneling.<br />

Research Interests:<br />

Application of Coupled Processes to<br />

Geo-environmental Engineering<br />

Many geo-environmental problems, including nuclear<br />

waste repository <strong>and</strong> sanitary l<strong>and</strong>fill problems,<br />

involve three physical processes: mechanical, thermal<br />

<strong>and</strong> hydrological. Though one of these three physical<br />

processes plays a more dominant effect on the<br />

response of the system, the effect of the remaining<br />

processes may not be neglected, <strong>and</strong> a coupling of<br />

one or more processes is required for engineering<br />

analysis. The primary objective of this research is to<br />

model various geo-engineering problems using a<br />

coupled approach.<br />

Soft Computing: Artificial Neural Networks, GIS,<br />

ANP<br />

Geological engineering is often considered as an<br />

imprecise area of civil engineering. Artificial neural<br />

network can be a useful tool to deal with geotechnical<br />

'black-box' problems. Major focus is on the application<br />

of Geographic Information Systems (GIS) to the field<br />

of geo-environmental engineering. Applications of<br />

ANP <strong>and</strong> BPNN within the GIS framework are under<br />

consideration.<br />

Tunneling <strong>and</strong> Underground Excavation<br />

In rock tunneling, research interests are mainly in the<br />

area of stress distribution around underground<br />

openings, numerical analysis, geotechnical monitoring<br />

<strong>and</strong> tunnel safety. In soft ground tunneling, major<br />

concerns are ground deformation around openings<br />

<strong>and</strong> settlement due to subsurface excavation.<br />

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