Pozdeyev S. Development of scientific basis for determination of fire endurance of bearing reinforced concrete structures

Українська версія

Thesis for the degree of Doctor of Science (DSc)

State registration number

0512U000268

Thesis Registration Form

0512U000268.pdf

Applicant for

Specialization

  • 21.06.02 - Пожежна безпека

05-04-2012

Specialized Academic Board

Д 64.707.01

Essay

The thesis work sets forth a refined computational method for determination of fire endurance of bearing reinforced concrete structures, whereby providing for partial or complete substitution of firing trials by computational procedures for final certification of wide range of buildings and structures with respect to their fire stability for the purpose of evaluation of their conformity with the requirements of construction standards in terms of fire safety on stages of design, erection and operation. Herewith, the enhancement of determination efficiency of fire endurance of reinforced concrete structures is achieved due to the design of the latter with guaranteed fire endurance properties, what significantly reduces the material and labor costs of preparation and performance of firing trials.

Read more

Files

aref.doc

aref.doc

dis1.doc

dis2.doc

dis2.doc

dis3.doc

dis4.doc

dis4.doc

dis5.doc

dis6.doc

dis6.doc

dis7.doc

Similar theses

0524U000063

Andrii I. Kovalov

Development of the scientific basis of assessing the fire resistance of fireproof reinforced concrete building structures

0423U100228

Vitalii V. Prysiazhniuk

Increasing the efficiency of extinguishing fires using a portable means of smoke and heat removal

0523U100247

Oleksandr M. Nuianzin

Development of the scientific basis for evaluating fire resistance of reinforced concrete building structures using small-sized modular fire furnaces

0523U100147

Olena I. Lavreniuk

Development of scientific foundations for the creation of metal-coordinated epoxy-amine composites with reduced fire risk

0422U100189

Klymas Ruslan V.

Improving the method of predicting the cessation and spread of combustion fire prevention system at oil-filled transformer substations