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Papers tagged with "Abs"

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Vol 12, Issue 9 (September 2026) Civil

EFFECT OF SOIL-STRUCTURE INTERACTION ON TORSIONAL IRREGULARITY IN A MULTISTOREY BUILDING: AN ETABS RESPONSE-SPECTRUM STUDY

Soil-structure Interaction (SSI) Modifies The Effective Boundary Conditions Of Multistorey Buildings Through Foundation Translation, Rocking And Torsional Flexibility. These Effects Are Especially Important In Plan-irregular Reinforced-conc...

Sakunde Adesh Sominath, Prof. N.M. Nikam
Vol 12, Issue 9 (September 2026) Engineering

Experimental Investigation On The Strength And Durability Properties Of M30 Concrete By Partially Replacing Cement With Eggshell Powder

This Study Investigates Egg Shell Powder (ESP) As A Partial Replacement For Ordinary Portland Cement In M30 Grade Concrete, With Emphasis On Fresh Behaviour, Mechanical Strength And Durability. Concrete Mixes Were Prepared With 0%, 5%, 10%,...

Akshay Laxman Kamthe, Prof. Abhijeet Undre, Dr. Atul Pujari
Vol 12, Issue 8 (August 2026) Structural Engineer

Analysis Of High-Rise Building By Comparing Footing With Base Isolation And Without Base Isolation Using Etabs

High-rise Buildings Founded On Conventional Isolated, Combined, Or Raft Footings Transfer Earthquake Motion Directly Into The Superstructure, Whereas A Base-isolation Layer Modifies This Load Path By Introducing Controlled Lateral Flexibili...

Shubham Dalave, Prof.Anantwad S.B
Vol 12, Issue 7 (July 2026) Computer Science

An Optimized Deep Learning Model For Churn Rate Prediction

Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...

Mahak Mansuri, Prof. Pawan Panchole
Vol 12, Issue 7 (July 2026) Computer Science

A Deep Learning Approach For Predicting Crypto Currency Prices Trends

Machine Learning And Deep Learning Models Are Being Extensively Used At The Backend Of Forecasting Crypto Prices. Many Factors, Including Changes In Regulation, Public Opinion On Social Media, Investor Actions, And Overall Global Economic T...

Ayush Pal, Dr. Neha Jain
Vol 12, Issue 6 (June 2026) STRUCTURAL ENGINEEERING

SYNERGISTIC EFFECT OF BINARY AGRO-ASH BLENDS AND NYLON FIBER REINFORCEMENT ON THE PERFORMANCE OF SUSTAINABLE CONCRETE

- The The Depletion Of Natural Resources And The High Carbon Footprint Associated With Conventional Portland Cement Production Have Intensified The Search For Sustainable Alternatives In The Construction Industry. This Study Investigates Th...

A CHIRU PAVAN KUMAR, K. SURENDRA BABU
Vol 12, Issue 6 (June 2026) Engineering

DAMAGED IDENTIFICATION IN FRAMED STRUCTURE USING NATURAL FREQUENCIES IN ETABS

Structural Damage Identification Is An Important Part Of Structural Health Monitoring Because Damage In Beams, Columns, Joints And Lateral-load-resisting Members Reduces Stiffness And Changes The Dynamic Behaviour Of Framed Structures. In R...

Shrenika Sheshgiri Pai, Prof. Abhijeet Undre, Dr. Atul Pujari
Vol 12, Issue 6 (June 2026) STRUCTURAL ENGINEEERING

STRENGTH ASSESSMENT OF FIBER-MATRIX COMPOSITE ENHANCED WITH DUAL MINERAL ADMIXTURES

Cement The Heavy Reliance On Portland Cement In Infrastructure Development Poses Severe Environmental Threats Due To Massive Carbon Dioxide Emissions, Alongside Escalating Economic Costs. To Address These Challenges, This Study Evaluates Th...

B TEJESH, K URMILA DEVI
Vol 12, Issue 6 (June 2026) Civil Engineering

COMPARATIVE STUDY ON THE STRUCTURAL PERFORMANCE OF M25 AND M30 GRADE CONCRETE WITH INDUSTRIAL SLAG AND SISAL FIBER INTEGRATION

The Rapid Growth Of The Construction Sector Has Intensified The Demand For Sustainable Alternatives To Natural Aggregates And Traditional Concrete Additives. This Experimental Study Evaluates The Structural Feasibility Of Incorporating Iron...

D.V KONDAIAH, K URMILA DEVI
Vol 12, Issue 6 (June 2026) Transportation Engineering

A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety

With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...

Rajesh Kumar, Dr. Sunil Sugandhi
Vol 12, Issue 6 (June 2026) Civil Engineering

Performance Evaluation Of Cellulose Fiber Engineered Concrete For Structural Applications

Concrete Is The Most Widely Used Construction Material; However, Its Low Tensile Strength, Brittleness, And Susceptibility To Cracking Limit Its Performance In Structural Applications. The Incorporation Of Natural And Cellulose-based Fibers...

Mohammad Hamza, Rakesh Sakale, Hirendra Pratap Singh
Vol 12, Issue 6 (June 2026) Computer Engineering

Experimental Analysis Of Solar Energy Concentration And Heat Absorption In A Box-Type Solar Cooker Under Varying Conditions

Solar Energy Is A Great Option For Cooking In An Eco-friendly And Sustainable Way, Especially In Areas With Plenty Of Sunlight. This Paper Talks About An Experiment That Tested How Well A Box-type Solar Cooker Can Collect And Use Solar Ener...

Kiran Kawale, Trupti Shinde, Sankalp Barapatre, Tanishka Kedari, Vaishnavi Gite
Vol 12, Issue 5 (May 2026) Structural Engineering

PERFORMANCE EVALUATION OF SUSTAINABLE CONCRETE REINFORCED WITH ARECANUT FIBERS AND ENHANCED BY SILICA FUME

In The Present Time The World Wide Cement Production Is About 1.6 Billion Tons. This Huge Amount Of Production Leads To Consumption Of Natural Resources And It Is Also Harmful For Environment. The Main Components Of The Gases Emitted From C...

A Kranthi Kumar, K Urmila Devi
Vol 12, Issue 5 (May 2026) STRUCTURAL ENGINEERING

OPTIMIZATION OF LOW-CARBON CONCRETE DEVELOPED WITH RICE HUSK ASH UNDER SEVERE HYDROCHLORIC ACID ENVIRONMENTS

Ordinary Portland Cement (OPC) Is The Most Heavily Consumed Man-made Material On Earth. However, This Massive Scale Comes With A Severe Environmental Penalty: The 1:1 Carbon Ratio: As A Rule Of Thumb In Material Science, Manufacturing 1 Ton...

M Maneesha, B Ganesh
Vol 12, Issue 5 (May 2026) Computer Science

An Optimized Machine Learning Model For Forecasting Traffic Speeds In Urban Environments

The Potential For Data Collecting And Analytics-based Intelligent Traffic Systems (ITS) To Improve Traffic Systems Is Now Being Investigation. Predicting How Fast Traffic Will Be Moving Is One Of The Most Important Uses For This Technology....

Jyoti Gawatiya, Prof. Kiran Ajmera

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