Sensitivity, Adaptation, Risk ManagementThese concepts are widely used in describing the behavior of systems in various fields (power generation, telecommunication, medicine, ecology, etc.). The sensitivity of many systems is such that they can function where feedback, which includes monitoring, adaptation, and risk management, exists. In geotechnics, feedback is, in large part, monitoring, and only when necessary, adaptation, which is not previously specified in the plans, despite the risk associated with the indeterminacy of geologic-engineering data, the approximate nature of geotechnical calculations, and the conditionality of theoretical assumptions and hypotheses. Reliability of the BFS system is ensured only by safety factors introduced in the design stage.The observational method represents a more flexible approach to reliability assurance of an BFS system. The design is adapted in the construction process using data derived from on-going monitoring. This approach was first used by K. Terzaghi, and developed later on by Peck and Powderham [2].Unplanned situations also arise, however, during service. In Santos (Brazil) [3], therefore, tens of high-rise buildings had sustained significant settlements and tilts by the time their construction had been completed. The tilts could have been corrected had there been special devices specified by design [4] in these buildings.It is simpler to manage risks, if the sensitivity of the BFS system is assessed, i.e., its behavior as a function of variations in initial data. Monitoring data are insufficient for these assessments; it is possible, however, to compensate for this deficiency by numerical experiments using standards -simplified design schemes, which reflect existing behavioral characteristics of the BFS system. Standards permit use of highspeed computer programs, which are based on exact mathematical solutions free of the error-generated "noise" of numerical methods, and make it possible to obtain both expert, and also statistical assessments of the sensitivity of the BFS system (Monte Carlo method).As early as the 1980s, we had conducted a numerical analysis of the sensitivity of the BFS system [5,6,7]. This analysis is required in selecting design solutions, in developing regulatory documents, and for optimization of experiments, interpretation of monitoring data, calibration and verification of theoretical models, and development of practical intuition and adaptive measures.Mathematical modeling with the use of exact solutions [1] has made it possible to ascertain a number of qualitative characteristics features of the behavior of the "bed/foundationslab/structure" system (BFS) over the entire practical range of initial data.