Skip to main content

Currently Skimming:

Appendix D: Predicting Performance, Service Life, and Physical Life of Buildings and Their Components
Pages 79-82

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 79...
... This forecasting sometimes is undertaken pnm~rily on a statistical basis, with simple correlations made between the condition of the building materials or element and the parameters, such as temperature or numbers of loadings, that are presumed from theory to contribute to wear and aging. Sometimes a more elaborate mathematical model of the wear or aging process is constructed to provide the basis for data collection and analysis, but the result will still depend on statistical relationships among observable variables.
From page 80...
... At the same time, work by development economists at the World Bank and elsewhere began to demonstrate convincingly the direct contribution that pavement conditions have on vehicle operating costs and, in tum, on economic efficiency of a region's transportation system. These forces combined to motivate research and development efforts that led to establishment of practical pavement ~nanagement systems, which, after two decades, now are used routinely by many state transportation agencies to monitor highway facilities, to assure maintenance effectiveness, and to schedule rehabilitation and replacement of pavements (Hudson, et al., 1979~.
From page 81...
... 1989. Solar Materials Research and Development: Survey of Service Life Prediction Methods for Materials in Solar Heating and Cooling.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.