路基沉降预测的非等间隔Asaoka法

路基沉降预测对于确保高速铁路无砟轨道结构铺设质量非常重要。《客运专线铁路无砟轨道铺设条件评估技术指南》中推荐的沉降预测方法对沉降观测数据时间间隔的要求并不一样。其中，Asaoka公式是根据一维固结问题推导得出，具有明确的物理意义，但需要沉降观测数据为等时间间隔数据。根据微分变差分原理，采用前向差分和后向差分推导出了非等间隔Asaoka法。工程实例应用结果显示非等间隔Asaoka法具有较好的预测效果，可以直接应用于非等间隔沉降数据，避免了Asaoka方法在应用中存在的问题。

Non-equal Interval Asaoka Method for Predicting Subgrade Settlement

The prediction of subgrade settlement is of great importance to ensure the laid quality of ballastless track of high speed railway. The recommended forecast methods in 〈 Assessment technology guide of laid condition of ballastless track of passenger dedicated railway 〉 are different in the require- ment of time interval of settlement observation data. Among these methods, the theoretical basis of Asao- ka method is explicit, which is Mikasa consolidation equation for 1-d consolidation problem. However, Asaoka method need the time interval of settlement observation data is equal. It cannot directly apply to analyze the non-equal interval settlement data in practical applications. In this paper, non-equal interval Asaoka method is proposed by changing differential to difference by using forward difference and back- ward difference. For a case study, test results verify the validity of non-equal interval Asaoka method.