A Procedure for Damage-Based Seismic Design of Moment Frame Structures

Abstract A new method for seismic design of structures with the aim of controlling earthquake damage to a prescribed level is presented in this paper. The main idea is determining a design story drift in correlation to a selected damage index value. For this purpose, the Park-Ang damage index is correlated with a damage index that simply uses only the maximum story drift. Through performing several nonlinear dynamic analyses of selected moment frame steel structures and regression analysis, it is shown that such a correlation is possible by a simple linear relation. Beginning from a desired value of the damage index, the design story drift is calculated using the developed linear equation and the same buildings are designed using a displacement-base procedure. Results of the nonlinear dynamic analysis of the buildings show that the maximum story damage index under a suit of spectrum compatible ground motions is consistent with the selected initial damage index using the proposed procedure.</jats:p

Formation a l'information scientifique et technique : bilan et perspectives Paris, 23 septembre 1994, synthese

Sans pointage, DGSIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : YM 6670 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

Unweighted Pair Group Method with Arithmetic Averages (UPGMA) dendrogram derived by comparing the spacer patterns for CRISPR1 and CRISPR2 profiles from 42 <i>H</i>. <i>cinaedi</i> strains.

<p>The scale indicates the genetic distances calculated by UPGMA method. All sequences are labeled by strain number, hospital, and year of isolation in parentheses. CRISPR genotypes, CRISPR1 and CRISPR2 patterns, MLST sequence type, and MLST clonal complexes are indicated. PAGU1922 strain was assigned to an unknown ST, indicated in quotes. PAGU1930, PAGU1931, and PAGU1932 were also not assigned to any clonal complexes. Strains assigned to ST-3, ST-4, ST-8, and ST-16, which had identical sequences at all seven loci in each ST, had different spacer distributions in CRISPR analysis. In some clinically relevant strains (PAGU 611, 1294, 1703, 1708 and 1811), the spacer distribution of CRISPR1 differed, even though that of CRISPR2 was same, and vice versa.</p