Estimation of Design Shear Strength of Concrete Using Genetic Programming

Namjoshi, Preeti; Joshi, Shardul

doi:10.1007/978-981-15-6463-5_66

Preeti Namjoshi¹¹ &
Shardul Joshi¹¹

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 87))

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Abstract

Many codes provide empirical formulation for design shear strength of concrete which greatly vary from code to code. Moreover, many investigations into the shear problem that have been carried out have led to numerous empirical or semi-empirical formulae. These formulae usually agree quite well with the corresponding test result but not applicable for general use. The researchers have made use of experimental data set or analytical data set obtained from nonlinear finite element analysis. The equations are derived using nonlinear regression technique in which the form of the equation is required to be initially assumed. The present study investigates the application genetic programming (GP) in predicting the design shear strength of concrete. It is concluded that the values obtained by the equations derived from GP models estimate the design shear strength of concrete fairly close to the actual values.

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Author information

Authors and Affiliations

Department of Civil Engineering, Vishwakarma Institute of Information Technology, Pune, 411048, India
Preeti Namjoshi & Shardul Joshi

Authors

Preeti Namjoshi
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Shardul Joshi
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Corresponding author

Correspondence to Shardul Joshi .

Editor information

Editors and Affiliations

Department of Civil Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, India
Laxmikant Madanmanohar Gupta
Department of Civil Engineering, G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India
Maya Rajnarayan Ray
Water Technology & Management Division (WTMD), National Environmental Engineering Research Institute (NEERI) (Council of Scientific and Industrial Research), Nagpur, Maharashtra, India
Pawan Kumar Labhasetwar

Annexure 1

b: mm	d: mm	fc: MPa	Ptl: %	Ptv: %	fy: MPa	a/d	Vfail: KN
307	466	24	1.8	0.1	330	3.92	233
305	460	25	1.69	0.1	350	3.98	168
229	457	24	2.28	0.15	340	4.01	173
305	457	26	1.71	0.1	350	4.01	215
305	462	25	1.76	0.1	350	3.95	220
231	460	27	2.34	0.15	340	3.97	202
305	460	26	1.17	0.1	350	3.97	208
240	1200	25	1.26	0.15	440	3	468
152	272	34	4.16	0.21	276	3.6	117
152	272	31	4.16	0.21	276	3.6	112
76	95	29	1.97	0.16	275	3	16
76	132	28	3.95	0.12	258	3	25
76	132	26	3.95	0.34	179	3	28
76	132	28	3.95	0.12	258	4	20
152	298	22	3.36	0.12	292	3.6	76
152	298	28	3.36	0.26	269	3.6	95
152	298	47	3.36	0.26	269	3.6	121
152	298	69	3.36	0.26	269	3.6	151
152	298	82	3.36	0.26	269	3.6	116
152	298	47	3.36	0.38	271	3.6	133
152	298	83	3.36	0.38	271	3.6	150
305	539	36	2.49	0.14	525	3.1	338
305	539	36	2.49	0.07	525	3.1	222
305	539	56	2.49	0.14	525	3.1	383
406	385	29	2.31	0.39	549	2.65	460
457	871	72	1.88	0.16	445	3	788
457	762	125	2.35	0.16	483	3	749
457	762	125	2.89	0.23	464	3	1172
180	233	40	2.23	0.09	844	4	115
180	233	75	2.23	0.09	844	4	123
180	233	76	2.81	0.09	844	4	138
180	233	70	3.5	0.09	844	4	147
180	233	80	2.81	0.18	543	2.5	207
180	233	74	3.5	0.13	543	2.5	247
180	233	76	3.5	0.18	543	2.5	221
127	203	41	3.2	0.49	322	3	87
127	198	98	4.54	0.51	324	3	102
127	198	90	4.54	0.65	323	3	108
127	198	103	4.54	0.78	324	3	123
203	419	57	3.03	0.34	426	3.27	267
203	419	56	3.03	0.34	426	3.27	267
375	655	36	2.8	0.08	430	3.28	457
375	655	36	2.8	0.08	430	3.28	363
375	655	36	2.8	0.11	430	3.28	483
375	655	67	2.8	0.11	430	3.28	552
375	655	67	2.8	0.16	430	3.28	689
375	655	87	2.8	0.14	430	3.28	598
375	655	87	2.8	0.23	430	3.28	721
250	292	64	2.8	0.157	569	2.5	228
250	292	64	2.8	0.157	569	2.5	208
250	292	64	2.8	0.157	569	2.5	206
250	292	64	2.8	0.157	569	2.5	278
250	292	64	2.8	0.157	569	2.5	253
250	292	64	2.8	0.157	569	2.5	224
250	292	73	2.8	0.105	569	2.5	260
250	292	73	2.8	0.126	569	2.5	233
250	292	73	2.8	0.157	569	2.5	253
250	292	73	2.8	0.157	569	2.5	219
250	292	73	1.65	0.209	569	2.5	282
250	297	67	2.79	0.101	632	2.49	178
250	293	67	2.79	0.101	632	2.49	229
250	292	67	2.8	0.101	632	2.49	175
250	198	67	2.78	0.157	569	2.5	258
250	292	67	2.8	0.157	569	2.53	203
250	292	87	2.8	0.157	569	3.01	242
250	292	87	2.8	0.157	569	2.74	260
250	294	89	4.46	0.157	569	2.5	244
250	294	89	4.46	0.126	569	3.3	205
250	294	89	4.46	0.157	569	3.3	247
250	294	89	4.46	0.196	569	3.3	274
250	294	75	4.46	0.224	569	3.3	304
250	292	75	2.8	0.262	569	3.3	311
250	292	75	2.8	0.105	569	2.5	272
250	292	75	2.8	0.126	569	2.5	251
250	292	75	2.8	0.157	569	2.5	266
250	292	75	2.8	0.196	569	2.5	289
250	292	75	2.8	0.227	569	2.5	284
200	260	26	1.47	0.12	267	2.77	89
200	260	26	1.47	0.16	269	2.77	89
200	260	26	1.47	0.25	256	2.77	93
200	260	26	1.96	0.13	262	3.46	85
295	920	75	1.36	0.16	500	2.5	583
169	459	74	1.03	0.13	500	2.72	139
169	459	74	1.16	0.13	500	2.72	152
295	920	71	1.03	1.16	500	2.5	516
300	925	21	1.01	1.791	508	2.92	282
300	925	38	1.01	1.791	508	2.92	277
300	925	47	0.76	1.791	508	2.92	342
290	278	49	1.95	0.11	430	2.88	158
290	278	49	1.95	0.18	536	2.88	169
290	278	49	1.95	0.28	430	2.88	230
290	278	51	1.95	0.214	430	2.88	201
110	443	55	2.58	0.48	499	2.82	155
110	398	74	5.8	0.48	538	3.14	265
110	463	43	1.23	0.333	555	2.7	105
150	310	75	2.59	0.23	255	3	156
150	310	73	3.08	0.2	255	3	143
150	310	82	4.43	0.13	425	5	97
150	310	75	4.43	0.18	425	5	119
150	310	82	4.43	0.27	425	5	125
200	353	50	2.28	0.109	530	3.06	178
200	351	50	2.99	0.239	540	3.08	246
200	353	61	2.228	0.141	530	3.06	180
200	353	69	2.28	0.141	530	3.06	204
200	351	69	2.99	0.239	530	3.08	255
200	351	50	2.99	0.239	540	3.08	267
127	216	45	2.07	0.378	421	3	63
127	198	88	4.54	0.65	421	3	107
127	198	87	4.54	0.78	421	3	121
127	198	83	4.54	0.51	421	4	95
200	303	42	2.99	0.166	530	3.3	177
200	303	42	2.99	0.118	530	3.3	188
199	307	38	2.9	0.21	500	3.25	190
199	306	39	2.92	0.16	500	3.27	151
195	306	39	2.99	0.12	500	3.27	128
200	312	45	2.86	0.16	500	3.21	200
200	302	44	2.95	0.12	500	3.3	150
200	306	42	2.91	0.16	500	3.27	177
201	306	39	2.9	0.12	500	3.27	164
199	3053	41	2.93	0.21	500	3.28	202
199	305	45	2.93	0.16	500	3.28	193
199	307	43	2.91	0.12	500	3.25	147

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Namjoshi, P., Joshi, S. (2021). Estimation of Design Shear Strength of Concrete Using Genetic Programming. In: Gupta, L.M., Ray, M.R., Labhasetwar, P.K. (eds) Advances in Civil Engineering and Infrastructural Development. Lecture Notes in Civil Engineering, vol 87. Springer, Singapore. https://doi.org/10.1007/978-981-15-6463-5_66

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DOI: https://doi.org/10.1007/978-981-15-6463-5_66
Published: 14 November 2020
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6462-8
Online ISBN: 978-981-15-6463-5
eBook Packages: EngineeringEngineering (R0)

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Estimation of Design Shear Strength of Concrete Using Genetic Programming

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