Development of a parametric model for the organization of scientific and technical support during construction

Moscow State University of Civil Engineering, 129377, Moscow, Russia

^* Corresponding author: kashirtsev.mikhaill@mail.ru

Abstract

The aim of the study is to create a parametric model, using which it will be possible to formulate a program of measures carried out during the scientific and technical support of construction (STSC) for each specific object, as well as increase the efficiency of construction production by preventing unaccounted indicators during design. The uniqueness of this model lies in the fact that it adapts to the conditions of any object of high-rise construction. As a result, it will be possible to simulate a set of measures for the implementation of STSC for each unique object. Since the construction of a unique high-rise building requires the use of STSC, the question arises of the application of various methods and methods at each object. The unique high-rise buildings and structures considered within the framework of the STSC are unique, therefore, each needs to apply its own parameters relevant to a particular facility. For example, we can say that any parameter associated with the monitoring of the bases will be different for each object, since the ground conditions for each building under construction are different. To create a model, a number of parameters were selected that are most necessary for inclusion in the STSC regulation for the construction of unique high-rise buildings, and each parameter has its own criterion that varies depending on changes in the characteristics of the construction object. All parameters are either related to actual data on the construction object, such as: air temperature, soil conditions, material of load-bearing structures, etc., or depend on and are regulated by the regulatory documents of the Russian Federation. In this case, one can avoid the subjective opinion that occurs when using the method of expert assessments. Also, avoiding the method of expert assessments can reduce the time spent on the study itself, obtaining a result, and making a forecast.