| Author | Rajwanlop Kumpoopong |
| Call Number | AIT Diss. no.CM-10-03 |
| Subject(s) | Bridges--Design and construction
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| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctoral of Engineering in Construction, Engineering and Infrastructure Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. CM-10-03 |
| Abstract | The concept of Markov chain has been widely used to predict the condition of bridge deck. The transition probability matri ces, which are mostly developed by inspection data and experts’ opinion, are used to capture the deterioration of bridge deck. The Markov deterioration model developed by this a pproach although states deterioration in probabilistic sense may not be reliable b ecause relevant variables which affect the deterioration of bridge deck such as ch anges in traffic volume and environmental conditions are not explicitly emphasized in the model. Concrete cracking which can be accelerated by increased truck traffi c is the factor that contributes most to the deterioration of bridge deck and should be addressed in the deterioration model. This research work aims to develop the methodology for deve loping the hybrid deterioration model for reinforced concrete (RC) bridge deck that combines the quantitative analysis of crack mechanism due to truck traffic loads and the stochastic process ba sed on the concept of Markov chain for the network-level bridge management. In this research, the finite element program that can simulate cracks in RC bridge deck due to truck traffic is developed to capture the crack mechanism. Th e results are presented by S-N relations of RC bridge deck at different levels of damage. The damage is defined in this study as the extent of crack on the bottom surface of the deck slab or the crack level. Distribution curves of the number of trucks required for the crack to reach each crack level are then developed from the simulated S-N relations and the truck weight information. From these distribution curves and the specified truck tra ffic volume and composition, tran sition probabilities based on the concept of Markov chain can be cal culated. Based on the proposed technique, transition probabilities can be calculated for truck traffic data that is non-homogeneous with respect to both composition and volume wh ich provides the flexibility of the model to be applied to highway bridges of different truck traffic conditions. The methodology is presented through the development of hybrid de terioration model for Thailand Department of Highways (DOH) bridge deck. In the presen tation, the effect of each truck category and the effect of upgrading regulatory truck weight s on the deterioration of DOH bridge deck are discussed. The effect of specific overloade d trucks on the deterior ation of DOH bridge deck is discussed through the case study of th e transportation of suga rcane. For practical assessment of the deterioration of DOH bridge d eck, a series of distribution curves of the number of trucks required for the crack to r each different crack levels for different truck categories and gross weights is provided |
| Year | 2010 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. CM-10-03 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Construction Engineering and Infrastructure Management (CM) |
| Chairperson(s) | Chotchai Charoenngam; |
| Examination Committee(s) | Wang, Kelvin C.P.;Pennung Warnitchai;Hadikusumo, Bonaventura H. W; |
| Scholarship Donor(s) | Royal Thai Government; |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2010 |