Retraction Note: Soft computing methodologies for estimation of bridge girder forces with perforations under tsunami wave loading (Bulletin of Earthquake Engineering, (2015), 13, 3, (935-952), 10.1007/s10518-014-9656-3);Soft computing methodologies for estimation of bridge girder forces with perforations under tsunami wave loading

Bulletin of Earthquake Engineering

Volumn 13, Issue 3, 2015, Pages 935-952

  Akib, Shatirah ^b   Rahman, Sadia ^b   Shamshirband, Shahaboddin ^b,c   Petković, Dalibor ^a  

^a UNIVERSITY OF NI   (Serbia)

^b UNIVERSITY OF MALAYA   (Malaysia)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ANFIS; Bridge girder force; Perforation; SVR; Tsunami wave

Indexed keywords

BEAMS AND GIRDERS; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HIGHWAY BRIDGES; INTELLIGENT COMPUTING; PLATE GIRDER BRIDGES; SOFT COMPUTING; SUPPORT VECTOR REGRESSION; WELL PERFORATION;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; BRIDGE GIRDER; EARTHQUAKE AND TSUNAMIS; SOFT COMPUTING METHODOLOGIES; SOFTCOMPUTING TECHNIQUES; SUPPORT VECTOR REGRESSION (SVR); TSUNAMI WAVES;

TSUNAMIS;

EID: 84923216070     PISSN: 1570761X     EISSN: 15731456     Source Type: Journal    
DOI: 10.1007/s10518-020-00824-0     Document Type: Erratum

References (68)

1. Abderrahmane K, Hakim B, Youcef M, Mounir N (2014) Vulnerability assessment of reinforced concrete bridge structures in Algiers using scenario earthquakes. Bull Earthq Eng 12:807–827
2. Adankon MM, Cheriet M (2011) Help-training for semi-supervised support vector machines. Pattern Recognit 44:2220–2230
3. Akib S, Othman F, Othman I, Amini A, Marzuki MS (2009) Local scour at integral bridges with single and double row piles in a two- stage channel. In: H2009: 32nd hydrology and water resources symposium
4. Akib S, Shirazi SM, Sholichin M, Othman F, Fayyadh MM, Primasari B (2011a) Influence of flow shallowness on scour depth at semi-integral bridge piers. Adv Mater Res 243:4478–4481
5. Akib S, Fayyadh MM, Othman I (2011b) Structural behaviour of a skewed integral bridge affected by different parameters. J Road Bridge Eng 6(2):107–114
6. Akib S, Mashodi N, Rahman S (2013a) Semi-integral bridge scour countermeasure using Gabion and crushed concrete mixed with palm shell: a review. J Sci Technol 51(2B):59–68
7. Akib S, Mohammadhassani M, Jahangirzadeh A (2013b) Application of ANFIS and LR in prediction of scour depth in bridges. Comput Fluids. doi:10.1016/j.compfluid.2013.12.004
8. Aldair AA, Wang WJ (2011) Design an intelligent controller for full vehicle nonlinear active suspension systems. Int J Smart Sens Intell Syst 4(2):224–243
9. Ananthakrishnan S, Prasad R, Stallard D, Natarajan P (2013) Batch-mode semi-supervised active learning for statistical machine translation. Comput Speech Lang 27:397–406
10. Areed FG, Haikal AY, Mohammed RH (2010) Adaptive neuro-fuzzy control of an induction motor. Ain Shams Eng J 1:71–78
11. Asakura R, Iwase RK, Ikeya T, Takao M, Kaneko T, Fujii N, Omori M (2000) An experimental study on wave force acting on on-shore structures due to overflowing tsunamis. Proc Coast Eng 47:911–915 (in Japanese)
12. Ballantyne D (2006) Sri Lanka lifelines after the December 2004 Great Sumatra earthquake and tsunami. Earthq Spectr 22(S3):545–559
13. Barlas TK, van Kuik GAM (2005) Application of neural network controller for maximum power extraction of a grid-connected wind turbine system. Electron Eng 88:45–53
14. Dastranj MR, Ebroahimi E, Changizi N, Sameni E (2011) Control DC motorspeed with adaptive neuro-fuzzy control (ANFIS). Aust J Basic Appl Sci 5(10):1499–1504
15. Fayyadh M, Akib S, Othman I, Razak HA (2011) Experimental investigation and finite element modelling of the effects of flow velocities on a skewed integral bridge. Simul Model Pract Theory 19(9):1795–1810
16. Federico C, Carlo P, Riccardo R, Massimiliano G, Claudio M (2014) An integrated procedure for management of bridge networks in seismic areas. Bull Earthq Eng 12:807–827
17. Ghobarah A, Saatcioglu M, Nistor I (2006) The impact of 26 December 2004 earthquake and tsunami on structures and infrastructure. Eng Struct 28:312–326
18. Grigorie TL, Botez RM (2009). Adaptive neuro-fuzzy inference system-based controllers for smart material actuator modelling. Proc Inst Mech Eng, Part G: J Aerosp Eng 223(6):655-668
19. Iemura H, Pradono MH, Tada T (2007) Experiments of tsunami force acting on bridge models. J Earthq Eng 29:902–911
20. Jain P, Garibaldib JM, Hirst JD (2009) Supervised machine learning algorithms for protein structure classification. Comput Biol Chem 33:216–223
21. Jang J-SR (1993) ANFIS: adaptive-network-based fuzzy inference systems. IEEE Trans Syst Man Cybern 23:665–685
22. Japan Port and Harbour Association (1999) Technical standards and commentaries of port and harbour facilities
23. Kassem AM (February 2012) Neural control design for isolated wind generation system based on SVC and nonlinear autoregressive moving average approach. WSEAS Trans Syst 11(2):39–49
24. Kataoka S, Kusakabe T, Nagaya K (2006) Wave force acts on a bridge girder struck by tsunami. In: Proceedings of the 12th Japan earthquakeengineering symposium, pp 154–157
25. Khajeh A, Modarress H, Rezaee B (2009) Application of adaptive neuro-fuzzy inference system for solubility prediction of carbon dioxide in polymers. Expert Syst Appl 36(3):5728–5732
26. Li H, Shi KL, McLaren P (2005) Capture neural network based sensorless maximum wind energy, with compensated power coefficient. IEEE Trans Ind Appl 41(6):1548–1556
27. Lukkunaprasit P, Ruangrassamee A (2008) Buildings damage in Thailand in 2004 Indian Ocean tsunami and clues for tsunami-resistant design. Inst Eng Singap J Part A Civ Struct Eng 1(1):17–30
28. Lukkunaprasit P, Lau TL (2011) Influence of bridge deck on tsunami loading on inland bridge piers. IES J Part A Civ Struct Eng 4(2):115–121
29. Maheshwari BK, Sharma ML, Narayan JP (2006) Geotechnical and structural damage in Tamil Nadu, India, from the December 2004 Indian Ocean Tsunami. Earthq Spectr 22(S3):475–493
30. Matsutomi H (1991) The pressure distribution and the total wave force. Coast Eng Jpn 38:626–630
31. Mizutani S, Imamura F (2000) Hydraulic experimental study on wave force of a bore acting on a structure. Proc Coast Eng 47:946–950 (in Japanese)
32. Moustakidis SP, Rovithakis GA, Theocharis JB (2008) An adaptive neuro-fuzzy tracking control for multi-input nonlinear dynamic systems. Automatica 44:1418–1425
33. Nistor I, Saatcioglu M, Ghobarah A (2005) The 26 December 2004 earthquake and tsunami-hydrodynamic forces on physical infrastructure in Thailand and Indonesia. In: Proceedings 2005 Canadian coastal engineering conference, Halifax, Canada, CD-ROM, pp 15
34. Omar BAA, Haikal AYM, Areed FFG (2011) Design adaptive neuro-fuzzy speed controller for an electro-mechanical system. Ain Shams Eng J 2:99–107
35. Ornella L, Tapia E (2010) Supervised machine learning and heterotic classification of maize (Zea mays L.) using molecular marker data. Comput Electron Agric 74:250–257
36. Petković D, Ćojbašić Ž (2012) Adaptive neuro-fuzzy estimation of automatic nervous system parameters effect on heart rate variability. Neural Comput Appl 21(8):2065–2070
37. Petković D, Issa M, Pavlović ND, Pavlović NT, Zentner L (2012a) Adaptive neuro-fuzzy estimation of conductive silicone rubber mechanical properties. Expert Syst Appl 39(10):9477–9482, ISSN 0957–4174
38. Petković D, Issa M, Pavlović ND, Zentner L, Ćojbašić Ž (2012b) Adaptive neuro fuzzy controller for adaptive compliant robotic gripper. Expert Syst Appl 39(18):13295–13304, ISSN 0957–4174
39. Petković D, Pavlović ND (2013) Applications and adaptive neuro-fuzzy estimation of conductive silicone rubber properties. Strojarstvo: časopis za teoriju i praksu u strojarstvu 54(3)
40. Petković D, Ćojbašić Ž, Nikolić V (2013a) Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation. Renew Sustain Energy Rev 28:191–195. doi:10.1016/j.rser.2013.07.049
41. Petković D, Pavlović ND, Ćojbašić Ž, Pavlović NT (2013b) Adaptive neuro fuzzy estimation of underactuated robotic gripper contact forces. Expert Syst Appl 40(1):281–286, ISSN 0957–4174
42. Petković D, Ćojbašić Ž, Lukić S (2013c) Adaptive neuro fuzzy selection of heart rate variability parameters affected by autonomic nervous system. Expert Syst Appl 40(11):4490–4495
43. Petković D, Shahaboddin S, Ćojbašić Ž, Nikolić V, Anuar NB, Sabri AQM, Akib S (2013e) Adaptive neuro-fuzzy estimation of building augmentation of wind turbine power. Comput Fluids 97:188–194
44. Petković D, Issa M, Pavlović ND, Zentner L (2013d) Intelligent rotational direction control of passive robotic joint with embedded sensors. Exp Syst Appl 40(4):1265–1273, ISSN 0957–4174
45. Peymanfar A, Khoei A, Hadidi K (2010) Design of a general proposed neuro-fuzzy controller by using modified adaptive-network-based fuzzy inference system. Int J Electron Commun 64:433–442
46. Rahman S, Akib S, Khan M, Triatmadja R (2014) Performance of bridge girder with perforations under tsunami wave loading. Int J Civil Arch Sci Eng 8(2):17–22
47. Rahman S, Akib S, Khan MTR, Shirazi SM (2014) Experimental study on tsunami risk reduction on coastal building fronted by sea wall. Sci World J 7. doi:10.1155/2014/729357
48. Rajasekaran S, Gayathri S, Lee T-L (2008) Support vector regression methodology for storm surge predictions. Ocean Eng 35:1578–1587
49. Saatcioglu M, Ghobarah A, Nistor I (2006) Performance of structures in Indonesia during the 2004 Sumatra earthquake and tsunami. Earthq Spectr 22(S3):295–320
50. Scawthorn C, Ono T, Iemura H, Ridha M, Purwanto B (2006) Performance of lifelines in Banda Aceh, Indonesia, during the December 2004 Great Sumatra earthquake and tsunami. Earthq Spectr 22(S3):511–544
51. Sedighizadeh M, Rezazadeh A (2008) Adaptive PID control of wind energy conversion systems using RASP1 mother wavelet basis function networks. In: Proceedings of World Academy of Science, Engineering and Technology, volume 27, February 2008 ISSN, pp 1307–6884
52. Shahaboddin S, Iqbal J, Petković D, Mirhashemi MA (2014a) Survey of four models of probability density functions of wind speed and directions by adaptive neuro-fuzzy methodology. Adv Eng Softw 76:148–153
53. Shahaboddin S, Patel A, Anuar NB, Kiah MLM, Abraham A (2014b) Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks. Eng Appl Artif Intell 32:228–241
54. Shahaboddin S, Petković D, Anuar NB, Gani A (2014c) Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models. Renew Sustain Energy Rev 36:270–276
55. Shahaboddin S, Petković D, Anuar NB, Mat Kiah ML, Akib S, Gani A, Ćojbašić Ž, Nikolić V (2014d) Sensorless estimation of wind speed by adaptive neuro-fuzzy methodology. Int J Electr Power Energy Syst 62:490–495
56. Sheth A, Sanyal S, Jaiswal A, Gandhi P (2006) Effects of the December 2004 Indian Ocean Tsunami on the Indian Mainland. Earthq Spectr 22(S3):435–473
57. Shoji G, Mori Y (2006) Hydraulic model experiment to simulate the damage of a bridge deck subjected to tsunamis. Annu J Coast Eng 53(2):801–805 (in Japanese)
58. Sivakumar R, Balu K (2010) ANFIS based distillation column control. IJCA special issue on evolutionary computation for optimization techniques, pp 67–73
59. Tian L, Collins C (2005) Adaptive neuro-fuzzy control of a flexible manipulator. Mechatronics 15(10):1305–1320
60. Tomita T, Imamura F, Arikawa T, Yasuda T, Kawata Y (2006) Damage caused by the 2004 Indian Ocean Tsunami on the southwestern coast of Sri Lanka. Coast Eng J 48(2):99–116
61. Unjoh S (2005) Damage to transportation facilities. The damage induced by Sumatra earthquake and associated tsunami of December 26, 2004, A report of the reconnaissance team of Japan Society of Civil Engineers, pp 66–76
62. Unjoh S (2007) Bridge damage caused by tsunami. Bull Jpn Assoc Earthq Eng 6:26–28 (in Japanese)
63. Wahida Banu RSD, Shakila Banu A (2011) Identification and control of nonlinear systems using soft computing techniques. Int J Model Optim 1(1):24–28
64. Wei Z, Tao T, ZhuoShu D, Zio E (2013) A dynamic particle filter-support vector regressio n method for reliability prediction. Reliab Eng Syst Saf 119:109–116
65. Yamamoto TH, Hettiarachchi S, Samarawickrama S (2006) Verification of the destruction mechanism of structures in Sri Lanka and Thailand due to the Indian Ocean tsunami. Coast Eng J 48(2):117–146
66. Yang H, Huang K, King I, Lyu MR (2009) Localized support vector regression for time series prediction. Neurocomputing 72:2659–2669
67. Ye Q, Zhang Z, Law R (2009) Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. Expert Syst Appl 36:6527–6535
68. Zhang LI, Zhou W-D, Chang P-C, Yang J-W, Li F-Z (2013) Iterated time series prediction with multiple support vector regression models. Neurocomputing 99:411–442