Many state highway agencies (SHAs) have adopted pay adjustment provisions in their acceptance plans for construction and materials. In these payment adjustment acceptance plans, the percentage of material within specification limits (PWL) has been selected as the quality measure to relate production quality to pay factors, and pay equations are used to determine a pay factor for a lot based on PWL. Various pay equations have been proposed by the highway community for adoption in SHAs’ specifications. However, the effectiveness of these pay equations has not been fully evaluated. Another issue concerning the pay adjustment acceptance plans is the risk associated with single and multiple pay factors. The purpose of this study was to evaluate the effects of different pay equations commonly used by SHAs and the risks associated with pay adjustment acceptance plans. This was achieved by developing operating characteristic curves associated with various pay factors and expected pay curves and Monte Carlo simulation for assessing the effects in the long run. The methodology suggested in this paper is transferable elsewhere where similar materials and specifications are used for the acceptance of pavements.

许多国家公路管理机构 (SHA) 在其施工和材料验收计划中采用了薪酬调整规定。在这些付款调整验收计划中，已选择规格限制 (PWL) 内的物料百分比作为将生产质量与支付因素相关联的质量度量，并使用支付方程来确定基于 PWL 的批次的支付因素。高速公路社区已经提出了各种薪酬方程，供 SHA 规范采用。然而，这些薪酬等式的有效性尚未得到充分评估。关于薪酬调整接受计划的另一个问题是与单一和多个薪酬因素相关的风险。本研究的目的是评估 SHA 常用的不同薪酬公式的影响以及与薪酬调整接受计划相关的风险。这是通过开发与各种薪酬因素和预期薪酬曲线相关的运营特征曲线和蒙特卡罗模拟来评估长期影响来实现的。本文中建议的方法可在其他地方使用类似的材料和规范来接受路面。