The stress state is the fundamental for evaluating the soil strength and stability，playing a crucial role. However

during the stress testing

local damage and other uncertain factors may lead to partial sensor data missing

causing the existing three-dimensional stress calculation method to fail. To accurately restore the soil stress state during data missing

a three-dimensional stress calculation method was developed based on three-dimensional stress testing principles

incorporating axisymmetric and one-dimensional compression characteristics. The three-dimensional stress

principal stress

the first invariant of stress I

the second in variant of stress J and stress Lode angle of a sandy soil foundation under one-dimensional compression conditions with different data missing were calculated and compared to results with complete data. The results show that the method is highly accurate; as the load increases

the relative error decreases and converges. The principal stresses

the first invariant of stress I

the second invariant of stress J and the stress Lode angle align with one-dimensional compression response

suggesting that this calculation method supports advanced data mining. This study offers a novel approach and a practical method for fully utilizing the test data.