Research Status UC Science Building PEER Testbeds Fall 2002 Quarterly Meeting Holiday Inn Oakland Airport 8 November 2002 Keith Porter, California Institute of Technology 2.0 Facility Description • Comerio text by 31 Dec 2002 2 2.1 UCS Structural Model • 2D models – Two 2D models: transverse (Oct02), longitudinal (30 April 2003) – Vary strength, stiffness, ground motion, soil (30 Apr 2003) • 3D model – Best-estimate model + uncertain mass 31 Aug 2003 – One ground motion to compare w/2D – Mass varied to see if torsion matters • Selected response time-histories (dh, vh, ah)i relative & absolute at points {i} • {i} are at center of each floor • EDP format either: – For each IM, E[EDP] vector and V[EDP] matrix – Simulations of [EDP]T • Report sections Ch 5 done 10 Jul 2002, revisit ?? 3 Recorded vs. Simulation Recs • Mosalam to run 2D model with simulated recs (Sept 2003) for all IM levels – Beck to provide Matlab code, Mosalam to simulate motions (w/permission of Ivan Au) – Atkinson & Silva (BSSA Apr 2000) – [M, R] from Somerville’s 30 recs; scale to same Sa values – Compare EDP (dh, vh, ah, IDI)i relative & absolute with those from recorded motions • Beck & Porter to compare DV (Sep 2003) 4 2.2 Structural Analysis • Mosalam provided database of time histories for all motions; see previous • EDPs of interest: PDA, PDV, PIV, PTD, (horizontal; peak positive, negative values) • Check vertical amplification 30 Nov 02 (with updated report) • Schedule & format of EDPs (see previous) • Mosalam results to report 10 Jul 2002. • Updated tables & text, plus pushover results 30 Nov 2002 5 2.3a Small Component Fragilities • • • DMs: see Porter (13 Sep 2002) DVs DMs and FFs.ppt Hutchinson fragility functions delivered 31 Dec 2002 Basis for development & validation – Mechanical testing 4 configs (1A, 1B, 2A, 2B) of mock lab, 2 bench against wall; horizontal excitation – see Hutchinson ppt (7 Nov 2002) – 10 pcs equipment, incl. 2 microscopes, 3 monitors, 3 SGI systems (Octane, Indigo, &), glassware (some broken!) – 10 ground motions with broad dynamic characteristics – Lab tests validate analytical model – Limit states related to displacement (slide off shelf) & relative velocity (impact other objects) – Lab tests of coefficients of friction • • • • Yr-5 configs: see above Yr-6 config: 2 benches back-to-back, shelves on Unistrut Report Sec 6.2 outline May 2002, partial draft Oct 2002 Literature review: Soong (2000; MCEER 2000-5) constant mk, PGA as EDP, vertical motions in analytical tests 6 2.3b Large Equipment Fragilities • Fragility functions by 31 Dec 2002 – p[O/T|EDP, equipment, restraint condition] – p[Displ > x | (same conditions)] – p[velocity > v| (same conditions)] • Basis for development & validation – – – – – – Mechanical testing X configs (free-standing, restrained) 3 pcs equipment: huge incubator, 2 refrigerators (1 slender) 500 combinations of ground motions (up to 10%/50 yr) & restraint ¼-scale equipment for 2%/50 yr ( 20-in displ. in full scale) Lab tests to validate analytical model? 2 video directions, wire pots, extensometers along diag to check rigidbody – Lab tests of coefficients of friction • Report Sec 6.2 outline (date), partial draft 31 Dec 2002 • Literature review (long list) 7 2.6 Performance Metrics • Who are the DMs – Van Nuys: owner, insurer & financier – UCS: user (GRA, PI) negotiating with administration • What is the hazard – Owner (including UCS): “the earthquake” (question: what event?) – Insurer, finance: probabilistic • What are the DVs? – Van Nuys: deaths, injuries, repair costs, downtime – UCS: operational failure, life-safety failure, cost, downtime • What are the key DVs (“performance metrics”)? – Van Nuys: see May (23 Oct 2002) DV meeting.doc – UCS: see 3 papers of DM interviews by Ellwood (years ~2-3) • Why are they important? – Because DMs can understand them, can’t digest DVs to make decisions • Chang will document this – Mar 2003 based on Ellwood’s papers, including generic info from Nisqually – Revised based on UC focus groups 30 Sept 2003 8 2.6 Campus Performance Metrics • Relevant functional categories – To what other facilities can UCS DV|IM relationships be applied? – What are the other categories? • What kinds of decisions are relevant for the campus testbed? • In each kind of decision, who are the decision makers? • For each decision maker, what are the metrics needed from the campus model? • Chang to provide draft text for report by Sep 2003? 9