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Awad, A and Fayek, A R (2013) Adaptive Learning of Contractor Default Prediction Model for Surety Bonding. Journal of Construction Engineering and Management, 139(06), 694–704.
Badu, E, Owusu-Manu, D, Edwards, D J and Holt, G D (2013) Analysis of Strategic Issues Underpinning the Innovative Financing of Infrastructure within Developing Countries. Journal of Construction Engineering and Management, 139(06), 726–37.
Brodetskaia, I, Sacks, R and Shapira, A (2013) Stabilizing Production Flow of Interior and Finishing Works with Reentrant Flow in Building Construction. Journal of Construction Engineering and Management, 139(06), 665–74.
Cariaga, I and El-Diraby, T E (2013) Assessing the market potential for housing construction products in Mexico. Journal of Construction Engineering and Management, 139(06), 717–25.
Chen, Q, Jin, R and Soboyejo, A (2013) Understanding a Contractor’s Regional Variations in Safety Performance. Journal of Construction Engineering and Management, 139(06), 641–53.
Cho, Y, Wang, C and Zhuang, Z (2013) Framework for Empirical Process to Improve Nonnuclear Gauge Performance in Hot-Mix Asphalt Pavement Construction. Journal of Construction Engineering and Management, 139(06), 601–10.
Chong, H Y, Zin, R M and Chong, S C (2013) Employing Data Warehousing for Contract Administration: e-Dispute Resolution Prototype. Journal of Construction Engineering and Management, 139(06), 611–9.
Kim, Y A, Ryoo, B Y, Kim, Y and Huh, W C (2013) Major Accident Factors for Effective Safety Management of Highway Construction Projects. Journal of Construction Engineering and Management, 139(06), 628–40.
Le, Y, Wang, Y, Luo, C and Peng, Y (2013) Integration of Financial and Contract Management on the Shanghai Expo Construction Program. Journal of Construction Engineering and Management, 139(06), 738–48.
Park, T, Kim, B and Kim, H (2013) Real Option Approach to Sharing Privatization Risk in Underground Infrastructures. Journal of Construction Engineering and Management, 139(06), 685–93.
Russell, J S (2013) Shaping the Future of the Civil Engineering Profession. Journal of Construction Engineering and Management, 139(06), 654–64.
Solla, M, González-Jorge, H, Varela, M and Lorenzo, H (2013) Ground-Penetrating Radar for Inspection of In-Road Structures and Data Interpretation by Numerical Modeling. Journal of Construction Engineering and Management, 139(06), 749–53.
- Type: Journal Article
- Keywords: Nondestructive tests; Radar; Highways and roads; Inspection; Numerical models; Nondestructive tests; Ground-penetrating radar; Light detection and ranging (LiDAR); Finite-difference time-domain (FDTD) modeling; Road inspection;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000644
- Abstract:
In recent decades, road inspections have increasingly relied on the use of nondestructive instrumentation for the evaluation of road conditions. This work aims to test a ground-penetrating radar system to provide insight into nonvisible subsurface engineering with respect to an underpass arch-shaped structure. One important structural parameter that affects the stability of the arch structure and must be monitored is the quantity and thickness of the backfill used to fill the structure until the road is level. Frequencies of 500 and 200 MHz were used to detect the different layers over an arch structure. However, the heterogeneity of the backfill over the arch hampered interpretation of the field data. Finite-difference time-domain modeling was used to understand the response of the radar wave and to assist in interpretation. More realistic models were created based on the accurate geometry provided by a mobile light detection and ranging (LiDAR) device. The methodology is not excessively time-consuming, with all of the procedures taking a total of approximately 7 h. With this system, the layers built and their thicknesses can be defined with a maximum error of 5%. Appropriate nondestructive testing of the subsurface structure is useful in facilitating structural analysis and the prediction of critical failures.
Xia, B, Molenaar, K, Chan, A, Skitmore, M and Zuo, J (2013) Determining Optimal Proportion of Design in Design-Build Request for Proposals. Journal of Construction Engineering and Management, 139(06), 620–7.
Yeung, J F Y, Chan, A P C, Chan, D W M, Chiang, Y H and Yang, H (2013) Developing a Benchmarking Model for Construction Projects in Hong Kong. Journal of Construction Engineering and Management, 139(06), 705–16.
Yu, W, Wang, K and Wang, M (2013) Pricing Strategy for Best Value Tender. Journal of Construction Engineering and Management, 139(06), 675–84.