Effect of Overweight Trucks on Bridge Deck Deterioration Based on Weigh-in-Motion Data

Lou, Peng; Nassif, Hani; Su, Dan; Truban, Paul

doi:10.3141/2592-10

Cited by 22 publications

(17 citation statements)

References 6 publications

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“…For each probabilistic run, the network-level optimization model generates various Pareto-optimal solutions where each solution is a combination of different project Note: Service life using conventional concrete: estimated from the empirical deterioration model (21). ADT = average daily traffic; vpd = vehicles per day.…”

Section: Network-level Optimization Resultsmentioning

confidence: 99%

Stochastic Multi-Objective Optimization-Based Life Cycle Cost Analysis for New Construction Materials and Technologies

Gao

Özbay

Nassif

et al. 2019

Transportation Research Record: Journal of the Transportation R

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The sustainability of transportation infrastructure depends on the adoption of new construction materials and technologies that can potentially improve performance and productivity. However, most agencies would like to evaluate these new materials and technologies at both the project and network levels before replacing the traditional ones. It also remains a challenge to reliably estimate the costs and lifetime performance of new construction materials and technologies because of limited implementation data. To address these issues, this paper presents a comprehensive bottom-up methodology based on Life Cycle Cost Analysis (LCCA) to integrate project- and network-level analysis that can fast-track the acceptance of new materials or technologies. Hypothesized improvement rates are applied to the deterioration functions of existing materials to represent the expected improved performance of a new material compared with a conventional material with relatively similar characteristics. This new approach with stochastic treatment allows us to probabilistically evaluate new materials with limited data for their future performance. Feasible maintenance and rehabilitation schedules are found for each facility at the project level and near-optimal investment strategies are identified at the network level by using a metaheuristic evolutionary algorithm while satisfying network-wide constraints. This provides an effective solution to many issues that have not been fully addressed in the past, including the trade-off between multiple objectives, effects of time, uncertainty, and outcome interpretation. A hypothetical bridge deck system from New Jersey’s bridge inventory database is used to demonstrate the applicability of the proposed methodology in constructing a planning and management decision-support procedure.

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Section: Network-level Optimization Resultsmentioning

confidence: 99%

Stochastic Multi-Objective Optimization-Based Life Cycle Cost Analysis for New Construction Materials and Technologies

Gao

Özbay

Nassif

et al. 2019

Transportation Research Record: Journal of the Transportation R

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“…The bridge life-cycle cost assessment used in this study was adapted from Lou et al (2016). First net present value (NPV) was calculated using Equation 4.11.…”

Section: Bridge Life-cycle Cost Assessment and Overweight Vehicle Dammentioning

confidence: 99%

Development of an overweight vehicle permit fee structure for Illinois

et al. 2019

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Permits are one of the most effective and common tools for state agencies to regulate the operation of overweight and oversize vehicles by ensuring the safety of passenger and freight traffic and minimizing damage to pavements and bridges while promoting commerce and the safe movement of goods and services. Although the State of Illinois uses a relatively comprehensive permit system, many of its parts have not been revised for more than 30 years. Therefore, the objective of this study was to revise the current permit system by evaluating up-to-date impacts of overweight vehicles. In this study, impacts of overweight (OW) vehicles were evaluated in three aspects (bridge, pavement, and traffic safety) and individual fees were developed for each. The most recent databases on infrastructure condition and state-of-the-art prediction/classification algorithms were employed to produce the realistic and up-to-date assessment of OW vehicles' impact. Finally, a combined permit fee was recommended as a function of miles to be traveled, as well as axle and weight information, by aggregating the calculated individual fees. 17.

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“…Overloaded trucks cause significant damage to highway infrastructures (e.g., pavements, subgrades, and bridges) and substantially reduce their service lives [2][3][4]. Overloaded trucks also present a serious safety risk.…”

Section: Introductionmentioning

confidence: 99%

Effects of Revised Toll‐by‐Weight Policy on Truck Overloading Behavior and Bridge Infrastructure Damage Using Weigh‐in‐Motion Data: A Comparative Study in China

Huang

Zhou

Zhang

et al. 2019

Advances in Civil Engineering

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Since 2000, overloaded trucks have caused more than 50 bridges to collapse in China. In an effort to ensure the structural safety and extend the service life of the highway infrastructure, the Chinese government has proposed a series of policies in the past decade to mitigate truck overloading. This study aimed at investigating the effects of China’s recently revised toll-by-weight policy on truck overloading behavior and bridge infrastructure damage using weigh-in-motion data that spanned seven years (January 2011 to March 2018) and two successive toll-by-weight policies (with the new one implemented from August 2016), wherein truck data were measured from a typical national freeway segment. We first compared truck traffic volumes, compositions, and weight distributions under the initial and revised toll-by-weight policies. Next, we compared bridge infrastructure performance with respect to safety and fatigue based on the overloaded truck traffic observed under the initial and revised toll-by-weight policies. The results indicated that the revised toll-by-weight policy, which uses a stepwise incremental fee structure based on vehicle weight, was more effective at controlling truck overloading behavior and reducing bridge infrastructure damage than the initial toll-by-weight policy. Under the current policy, average daily truck volumes, overloaded truck proportions, and maximum truck weights decreased significantly. Concurrently, extreme and equivalent load effects for safety and fatigue assessments, respectively, decreased by an average of 20% for small- to medium-span bridges. Despite these noted improvements, overloaded truck traffic persisted, with loads often exceeding bridge design levels. This study’s findings can support future efforts by the Chinese government to further refine their toll-by-weight policies and subsequently ensure a safe and viable transportation network.

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Effect of Overweight Trucks on Bridge Deck Deterioration Based on Weigh-in-Motion Data

Cited by 22 publications

References 6 publications

Stochastic Multi-Objective Optimization-Based Life Cycle Cost Analysis for New Construction Materials and Technologies

Stochastic Multi-Objective Optimization-Based Life Cycle Cost Analysis for New Construction Materials and Technologies

Development of an overweight vehicle permit fee structure for Illinois

Effects of Revised Toll‐by‐Weight Policy on Truck Overloading Behavior and Bridge Infrastructure Damage Using Weigh‐in‐Motion Data: A Comparative Study in China

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