AbstractEmerging technologies are a strategic ally in the efficient management and preservation of pavements and bridges. Toward this end, different methodologies, such as weigh-in-motion (WIM), have been developed for the detection of overweight vehicles and traffic monitoring. Bridge weigh-in-motion (BWIM) systems can be installed and serviced without interrupting traffic flow. This paper presents a new approach for processing traditional strain response data. This proposal extends the BWIM concept of influence area from response time-histories. The dimensionality of the strain response waves is reduced by the calculation of the centroid and the area under the curve. Subsequently, these two dimensions are used as inputs to an ordinary Kriging (OK) metamodel to predict the gross vehicle weight (GVW) of the passing traffic. The OK methodology allows for the strategic selection of vehicles to train the BWIM metamodel. An example of the application of Kriging metamodeling (KM) to BWIM through the instrumentation of an in-service highway bridge located in Costa Rica is presented. Experimental horizontal strain data along with corresponding weight measurements from a static permanent weigh station were available for 90 trucks to validate the proposed enhanced BWIM methodology.Practical ApplicationsThis research addresses the current concerns regarding United States infrastructure. The ASCE’s 2021 Report Card for America’s Infrastructure (
ASCE 2021) scores a general C- for all 18 categories reported (aviation, D+; bridges, C; ports, B-; rail, B; roads, D; transit, D-; among others). In the bridge category, the use of “living bridges” is mentioned, referring to sensors installed on the structure, as an innovative solution to provide continuous feedback on structural conditions. The proposed methodology in this paper can provide information on the proper instrumented bridge’s structural condition, and the type of traffic traveling over the route the bridge services. This information can be used to feed the databases that support Transportation Asset Management Plans, which are pointed out in the ASCE’s Report Card as federally required tasks to maintain and preserve properly the transportation infrastructure through sceneries and projections.

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