This website is currently under maintenance.

Pre-Earthquake Damage Assessment Using Intelligence Algorithms

DESCRIPTION

Assessment and damage level evaluation for building inventories (minor, moderate, major, collapse) based on pre-earthquake collected data.

BUILDING AI

Step 1. Ground Motion Input

Ground Motion Input Parameters

Direction 1 - Acceleration Time History Record

Direction 2 - Acceleration Time History Record

spinner
Please upload direction 1 & direction 2 accelerogram files.

Direction 1 - Acceleration/Time Graph

Direction 1 - Acceleration/Time Graph

Direction 2 - Acceleration/Time Graph

Direction 2 - Acceleration/Time Graph

Seismic Properties

PGA = gPGV = cm/sPGD = cmPGV/PGA = sarms = g
vrms = cm/sdrms = cmIa = m/sIc = SED = cm2/s
CAV = cm/sASI = g*sVSI = cmHI = cmEPA = g
SMA = gPP = sTUD = sBRD = sSMD_TB = s

Response Spectrums

Response Spectrum
Response Spectrum
Response Spectrum

Step 2. ANN Structural Properties

Technical Data

Input Features

ANN Structure Image 1
ANN Structure Image 2
spinner
ANN Spectrums

Vulnerability Results

ANN Damage Classification Using Max- Interstorey Drift Ration (MIDR)

NULL-SLIGHT (0 ≤ MIDR < 0.5)
MODERATE (0.5 ≤ MIDR < 1.0)
NEAR COLLAPSE (MIDR ≥ 1.0)

Damage Level:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Mauris et euismod turpis, sit amet varius elit. Proin at ornare metus. Donec sollicitudin euismod lectus ut fermentum. Suspendisse eget lacinia tellus.

Want to discuss a project?

Send us a message and we’ll get back to you as soon as possible.

CONTACT US log